Triple
T11725165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayside |
E278744
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Alley Pond Park |
E321340
|
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: Alley Pond Park | Statement: [Bayside, hasPark, Alley Pond Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alley Pond Park Context triple: [Bayside, hasPark, Alley Pond Park]
-
A.
Alley Pond Park
chosen
Alley Pond Park is a large urban green space in eastern Queens, New York City, known for its diverse wetlands, forests, and extensive recreational facilities.
-
B.
Tilley Pond Park
Tilley Pond Park is a scenic public park in Darien, Connecticut, known for its pond, walking paths, and tranquil green space.
-
C.
Mill Pond Park
Mill Pond Park is a popular community green space in Richmond Hill, Ontario, centered around a scenic pond and known for its walking trails, wildlife, and seasonal events.
-
D.
Mill Pond Park
Mill Pond Park is a local public park in Ashland, Massachusetts, known for its pond-centered scenery and outdoor recreation opportunities.
-
E.
Roslyn Pond Park
Roslyn Pond Park is a small scenic public park in Roslyn, New York, centered around a historic pond and offering walking paths and waterfront views.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d603cc8190b2e68d0bdd793362 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0198de0708190bc3f6ec2533c8a5b |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.