Triple
T12418670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Bayside |
E296705
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Village Park |
unclear NED1
|
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: Village Park | Statement: [Village of Bayside, hasPark, Village Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Village Park Context triple: [Village of Bayside, hasPark, Village Park]
-
A.
Village Park
Village Park is a popular family-friendly recreational park in Kannapolis, North Carolina, known for its green spaces, events, and community activities.
-
B.
Village Park
Village Park is a residential community within the Ewa District on the island of Oahu in Hawaii.
-
C.
Greenfield Park
Greenfield Park is a residential borough on the South Shore of Montreal in Quebec, Canada, known for its suburban character and bilingual community.
-
D.
Riverview Park
Riverview Park is a riverside recreational area near Charlottesville, Virginia, offering trails, open green space, and access to the Rivanna River for outdoor activities.
-
E.
Riverview Park
Riverview Park is a historic urban park in Allegheny County, Pennsylvania, known for its wooded hills, trails, and scenic overlooks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6efd748190a5d9396a343e41e1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634933b9881909fd592ede7c3e49c |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.