Triple
T5046267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inwood |
E113672
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Isham Park |
E49285
|
NE FINISHED |
How this triple was built (2 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: Isham Park | Statement: [Inwood, hasPark, Isham Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isham Park Context triple: [Inwood, hasPark, Isham Park]
-
A.
Isham Park
chosen
Isham Park is a historic public park in the Inwood neighborhood of northern Manhattan, New York City, known for its scenic views and wooded landscapes.
-
B.
Shute Park
Shute Park is a public park in Hillsboro, Oregon, known for its large green spaces, recreational facilities, and community events.
-
C.
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.
-
D.
Williamson Park
Williamson Park is a large public park in Lancaster, England, known for its woodland walks, ornamental gardens, and the prominent Ashton Memorial.
-
E.
Lamont Park
Lamont Park is a neighborhood green space and community gathering spot located in the Mount Pleasant area of Washington, D.C.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fe99688190961708f5d8eb6bff |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef988a0c8190a6c7898df8e94a6e |
completed | March 21, 2026, 7:20 p.m. |
Created at: March 20, 2026, 1:37 p.m.