Triple
T2300435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middlesex Fells Reservation |
E51717
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Massachusetts state park system
The Massachusetts state park system is a network of publicly managed parks, forests, reservations, and recreational areas across the state, overseen primarily by the Department of Conservation and Recreation.
|
E2527
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Massachusetts state park system | Statement: [Middlesex Fells Reservation, partOf, Massachusetts state park system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massachusetts state park system Context triple: [Middlesex Fells Reservation, partOf, Massachusetts state park system]
-
A.
Maine State Park system
The Maine State Park system is a network of publicly managed parks and recreational areas across Maine that protect natural landscapes and provide outdoor recreation opportunities.
-
B.
Connecticut state park system
The Connecticut state park system is a network of publicly managed parks and natural areas across Connecticut that preserve the state’s landscapes, history, and recreational resources for residents and visitors.
-
C.
Pennsylvania state park system
The Pennsylvania state park system is a network of publicly owned parks across Pennsylvania that preserves natural, cultural, and recreational resources while providing outdoor activities such as hiking, camping, and boating.
-
D.
Massachusetts Department of Conservation and Recreation
The Massachusetts Department of Conservation and Recreation is a state agency responsible for managing and protecting Massachusetts’ public parks, forests, beaches, and other natural and recreational resources.
-
E.
New York State Parks
New York State Parks is the public agency system responsible for managing and preserving New York State’s parks, recreational areas, and historic sites.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Massachusetts state park system Triple: [Middlesex Fells Reservation, partOf, Massachusetts state park system]
Generated description
The Massachusetts state park system is a network of publicly managed parks, forests, reservations, and recreational areas across the state, overseen primarily by the Department of Conservation and Recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Massachusetts state park system Target entity description: The Massachusetts state park system is a network of publicly managed parks, forests, reservations, and recreational areas across the state, overseen primarily by the Department of Conservation and Recreation.
-
A.
Maine State Park system
The Maine State Park system is a network of publicly managed parks and recreational areas across Maine that protect natural landscapes and provide outdoor recreation opportunities.
-
B.
Connecticut state park system
The Connecticut state park system is a network of publicly managed parks and natural areas across Connecticut that preserve the state’s landscapes, history, and recreational resources for residents and visitors.
-
C.
Pennsylvania state park system
The Pennsylvania state park system is a network of publicly owned parks across Pennsylvania that preserves natural, cultural, and recreational resources while providing outdoor activities such as hiking, camping, and boating.
-
D.
Massachusetts Department of Conservation and Recreation
chosen
The Massachusetts Department of Conservation and Recreation is a state agency responsible for managing and protecting Massachusetts’ public parks, forests, beaches, and other natural and recreational resources.
-
E.
New York State Parks
New York State Parks is the public agency system responsible for managing and preserving New York State’s parks, recreational areas, and historic sites.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5edc1348190a4d84606b1310711 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f2e338881908e09d19f469a59ce |
completed | March 9, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_69ae7fd78ee48190990fc7b5034b662b |
completed | March 9, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae80dadf208190913211329a40b4ee |
completed | March 9, 2026, 8:12 a.m. |
Created at: March 4, 2026, 7:49 p.m.