Triple
T11568587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pymmes Brook |
E274320
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Oak Hill Park |
E758688
|
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: Oak Hill Park | Statement: [Pymmes Brook, flowsThrough, Oak Hill Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oak Hill Park Context triple: [Pymmes Brook, flowsThrough, Oak Hill Park]
-
A.
Oak Hill Park
Oak Hill Park is a public recreational green space located in Wooster, Ohio.
-
B.
Oak Hill Park
Oak Hill Park is a public recreational green space located in the city of Olean in western New York State.
-
C.
Oak Hill Park
Oak Hill Park is a public recreational park in Danville, California, featuring open green spaces, walking paths, and community amenities.
-
D.
Oak Hill Park
chosen
Oak Hill Park is a public green space in the London Borough of Barnet, featuring open lawns, sports facilities, and woodland areas for recreation and leisure.
-
E.
Greenlawn Park
Greenlawn Park is a local public recreational area in Greenlawn, New York, offering open green space and outdoor amenities for community use.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd543a48190b834abd8e8ae7b65 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1330527481908d518093debc9ad1 |
completed | May 9, 2026, 10:57 a.m. |
Created at: April 8, 2026, 9:37 p.m.