Triple
T11725164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayside |
E278744
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Crocheron Park |
E752567
|
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: Crocheron Park | Statement: [Bayside, hasPark, Crocheron Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crocheron Park Context triple: [Bayside, hasPark, Crocheron Park]
-
A.
Crocheron Park
chosen
Crocheron Park is a public waterfront park in the Bayside neighborhood of Queens, New York City, known for its walking paths, athletic facilities, and views of Little Neck Bay.
-
B.
Boisseranc Park
Boisseranc Park is a public recreational park located in the city of Buena Park in Southern California.
-
C.
Lamoureux Park
Lamoureux Park is a large waterfront public park in Cornwall, Ontario, known for its scenic St. Lawrence River views, recreational trails, and community events.
-
D.
Valade Park
Valade Park is a public recreational space along Detroit’s riverfront featuring waterfront views, walking paths, and community gathering areas.
-
E.
Reverchon Park
Reverchon Park is a historic urban park in Dallas, Texas, known for its recreational facilities, green spaces, and proximity to the popular Katy Trail.
- 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_69f6b8b788308190bd9c3b68569bc56a |
completed | May 3, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.