Triple
T17858462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elephant Park development |
E446001
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | central park |
—
|
NE NERFINISHED |
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: [Elephant Park development, hasPart, central park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: central park Context triple: [Elephant Park development, hasPart, central park]
-
A.
Central Park
Central Park is a major public park in Grand Prairie, Texas, featuring recreational facilities, green spaces, and community amenities.
-
B.
Central Park
Central Park is a public recreational park located in Sylacauga, Alabama, offering outdoor green space and community amenities for local residents.
-
C.
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.
-
D.
Central Park
Central Park is a public park in San Mateo, California, known for its Japanese Tea Garden, open green spaces, and community events.
-
E.
Central Park
Central Park is a public park in the town of Wingham, offering green space and recreational facilities for residents and visitors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978e68ec8190a4306f7b7bb058d7 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.