Triple
T1033931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nassau Veterans Memorial Coliseum |
E22315
|
entity |
| Predicate | distanceFromManhattan |
P2383
|
FINISHED |
| Object | approximately 19 miles east |
—
|
LITERAL 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: approximately 19 miles east | Statement: [Nassau Veterans Memorial Coliseum, distanceFromManhattan, approximately 19 miles east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromManhattan Context triple: [Nassau Veterans Memorial Coliseum, distanceFromManhattan, approximately 19 miles east]
-
A.
distanceCharacteristic
Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
-
B.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
C.
distanceToNewYorkCity
chosen
Indicates the spatial distance between a given entity’s location and New York City.
-
D.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
E.
distanceFromSanFrancisco
Indicates the measured distance between a given entity’s location and the city of San Francisco.
- F. None of above.
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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b728ad3481909cf1430349cb9bba |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.