Triple
T6471394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowdenbeath F.C. |
E142360
|
entity |
| Predicate | homeGround |
P890
|
FINISHED |
| Object | Central Park |
E142360
|
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: Central Park | Statement: [Cowdenbeath F.C., homeGround, Central Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Park Context triple: [Cowdenbeath F.C., homeGround, Central Park]
-
A.
Central Park
Central Park is a large circular public park at the heart of Connaught Place in New Delhi, known for its open green space, amphitheater, and role as a popular recreational and cultural hub.
-
B.
Central Park
Central Park is a major public park in Grand Prairie, Texas, featuring recreational facilities, green spaces, and community amenities.
-
C.
Central Park
chosen
Central Park is a football stadium in Cowdenbeath, Scotland, best known as the long-time home ground of Cowdenbeath F.C.
-
D.
Central Park
Central Park is an animated musical comedy television series that follows the quirky Tillerman family as they protect and manage New York City's iconic Central Park.
-
E.
Central Park
Central Park is a public park in San Mateo, California, known for its Japanese Tea Garden, open green spaces, and community events.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a2fd4248190a789bf0301e2860a |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c67c43893c8190b99130bb9a3afc40 |
completed | March 27, 2026, 12:46 p.m. |
Created at: March 22, 2026, 4:50 p.m.