Triple
T2639728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Englewood, Chicago |
E62834
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Hamilton Park
Hamilton Park is a public park in the Englewood neighborhood of Chicago, known for providing local residents with recreational green space and community facilities.
|
E321363
|
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: Hamilton Park | Statement: [Englewood, Chicago, hasPark, Hamilton Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamilton Park Context triple: [Englewood, Chicago, hasPark, Hamilton Park]
-
A.
Aldrich Park
Aldrich Park is a large central green space and botanical park that serves as the landscaped heart of the University of California, Irvine campus.
-
B.
Roseland Park
Roseland Park is a public recreational park located in Jamestown, New York.
-
C.
Hurley Park
Hurley Park is a public garden and recreational green space located in Salisbury, North Carolina.
-
D.
Coronation Park
Coronation Park is a public green space in the town of Radcliffe, England, providing recreational areas and community amenities for local residents.
-
E.
Coronation Park
Coronation Park is a waterfront public park in Oakville, Ontario, known for its green spaces, recreational facilities, and views of Lake Ontario.
- 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: Hamilton Park Triple: [Englewood, Chicago, hasPark, Hamilton Park]
Generated description
Hamilton Park is a public park in the Englewood neighborhood of Chicago, known for providing local residents with recreational green space and community facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamilton Park Target entity description: Hamilton Park is a public park in the Englewood neighborhood of Chicago, known for providing local residents with recreational green space and community facilities.
-
A.
Aldrich Park
Aldrich Park is a large central green space and botanical park that serves as the landscaped heart of the University of California, Irvine campus.
-
B.
Roseland Park
Roseland Park is a public recreational park located in Jamestown, New York.
-
C.
Hurley Park
Hurley Park is a public garden and recreational green space located in Salisbury, North Carolina.
-
D.
Coronation Park
Coronation Park is a public green space in the town of Radcliffe, England, providing recreational areas and community amenities for local residents.
-
E.
Coronation Park
Coronation Park is a waterfront public park in Oakville, Ontario, known for its green spaces, recreational facilities, and views of Lake Ontario.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fafad08190939b08558fea6abd |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de7ea6b48190a992ef2c4b3d7c42 |
completed | March 11, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69b1e4e2ccb08190932caf81646db1fe |
completed | March 11, 2026, 9:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e536247c8190a2b3b0fc2d1095e5 |
completed | March 11, 2026, 9:57 p.m. |
Created at: March 6, 2026, 9:53 p.m.