Triple
T13656019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldameer Park & Water World |
E326861
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object |
Hoffman’s Grove
Hoffman’s Grove was the original picnic and recreation area that later developed into Waldameer Park & Water World in Erie, Pennsylvania.
|
E1052904
|
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: Hoffman’s Grove | Statement: [Waldameer Park & Water World, foundedAs, Hoffman’s Grove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoffman’s Grove Context triple: [Waldameer Park & Water World, foundedAs, Hoffman’s Grove]
-
A.
Blooming Grove
Blooming Grove is a town in Dane County, Wisconsin, known for its suburban residential character near the city of Madison.
-
B.
Vails Grove
Vails Grove is a small hamlet within the Town of Southeast in Putnam County, New York, known primarily as a residential lakeside community.
-
C.
Liberty Grove
Liberty Grove is a modern residential suburb in Sydney, Australia, known for its planned community layout and proximity to major sporting and entertainment precincts.
-
D.
Island Grove
Island Grove is a small lakeside community within the town of Georgina in Ontario, Canada.
-
E.
Waldeck Upland
Waldeck Upland is a hilly, forested region in central Germany known for its reservoirs, nature parks, and outdoor recreation areas.
- 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: Hoffman’s Grove Triple: [Waldameer Park & Water World, foundedAs, Hoffman’s Grove]
Generated description
Hoffman’s Grove was the original picnic and recreation area that later developed into Waldameer Park & Water World in Erie, Pennsylvania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoffman’s Grove Target entity description: Hoffman’s Grove was the original picnic and recreation area that later developed into Waldameer Park & Water World in Erie, Pennsylvania.
-
A.
Blooming Grove
Blooming Grove is a town in Dane County, Wisconsin, known for its suburban residential character near the city of Madison.
-
B.
Vails Grove
Vails Grove is a small hamlet within the Town of Southeast in Putnam County, New York, known primarily as a residential lakeside community.
-
C.
Liberty Grove
Liberty Grove is a modern residential suburb in Sydney, Australia, known for its planned community layout and proximity to major sporting and entertainment precincts.
-
D.
Island Grove
Island Grove is a small lakeside community within the town of Georgina in Ontario, Canada.
-
E.
Waldeck Upland
Waldeck Upland is a hilly, forested region in central Germany known for its reservoirs, nature parks, and outdoor recreation areas.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b03083c8190855a2a4ee44e4098 |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78c0030e481909c20f21ddaa480dc |
completed | May 3, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d6d74bc8190ad5476a06e8fd8ad |
completed | May 3, 2026, 6:01 p.m. |
Created at: April 9, 2026, 9:52 p.m.