Triple
T2419037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Front Park |
E52374
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Front Park |
E52374
|
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: Front Park | Statement: [Front Park, name, Front Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Front Park Context triple: [Front Park, name, Front Park]
-
A.
Front Park
chosen
Front Park is a historic public park in Buffalo, New York, designed as part of Frederick Law Olmsted and Calvert Vaux’s renowned Buffalo park and parkway system.
-
B.
East End Park
East End Park is a football stadium in Dunfermline, Scotland, best known as the long-standing home of Dunfermline Athletic F.C.
-
C.
Baker Park
Baker Park is a prominent public park in Frederick, Maryland, known for its open green spaces, recreational facilities, and community events.
-
D.
Downtown Park
Downtown Park is a central urban green space and community gathering area located in downtown Redmond, Washington.
-
E.
Love Park
Love Park is a famous public square in downtown Philadelphia best known for its iconic LOVE sculpture and role as a popular gathering and skateboarding spot.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc96e1b3881909de57501b5d4099a |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf5397508190b755e522060041c0 |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 6, 2026, 9:42 p.m.