Triple
T3526857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mt. Abram |
E74559
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Town of Greenwood
The Town of Greenwood is a small rural community in western Maine known for its outdoor recreation opportunities and scenic mountain landscapes.
|
E365950
|
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: Town of Greenwood | Statement: [Mt. Abram, locatedIn, Town of Greenwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of Greenwood Context triple: [Mt. Abram, locatedIn, Town of Greenwood]
-
A.
Greenwood
Greenwood is a common English surname borne by numerous notable individuals across fields such as music, sports, and politics.
-
B.
Greenwood
Greenwood is a residential neighborhood within the town of Bicester in Oxfordshire, England.
-
C.
Greenwood
Greenwood is a residential neighborhood within the city of Warwick in the U.S. state of Rhode Island.
-
D.
City of Greenfield
The City of Greenfield is a suburban municipality in southeastern Wisconsin that forms part of the Milwaukee metropolitan area.
-
E.
Creek Town
Creek Town is a historic Efik settlement in southeastern Nigeria that served as an important center of trade and culture along the Cross River.
- 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: Town of Greenwood Triple: [Mt. Abram, locatedIn, Town of Greenwood]
Generated description
The Town of Greenwood is a small rural community in western Maine known for its outdoor recreation opportunities and scenic mountain landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Town of Greenwood Target entity description: The Town of Greenwood is a small rural community in western Maine known for its outdoor recreation opportunities and scenic mountain landscapes.
-
A.
Greenwood
Greenwood is a common English surname borne by numerous notable individuals across fields such as music, sports, and politics.
-
B.
Greenwood
Greenwood is a residential neighborhood within the town of Bicester in Oxfordshire, England.
-
C.
Greenwood
Greenwood is a residential neighborhood within the city of Warwick in the U.S. state of Rhode Island.
-
D.
City of Greenfield
The City of Greenfield is a suburban municipality in southeastern Wisconsin that forms part of the Milwaukee metropolitan area.
-
E.
Creek Town
Creek Town is a historic Efik settlement in southeastern Nigeria that served as an important center of trade and culture along the Cross River.
- F. None of above. chosen
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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6bb0748190bfccfe25d2ab41b7 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e90e67c81909944bb81d89e039b |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37f837d1481908b2773785ca74375 |
completed | March 13, 2026, 3:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38329637881908ae4dfa8bb201f9a |
completed | March 13, 2026, 3:23 a.m. |
Created at: March 8, 2026, 3:19 p.m.