Triple
T7977347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westbury, New York |
E185478
|
entity |
| Predicate | distanceToNewYorkCityCenter |
P2383
|
FINISHED |
| Object | approximately 20–25 miles |
—
|
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 20–25 miles | Statement: [Westbury, New York, distanceToNewYorkCityCenter, approximately 20–25 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNewYorkCityCenter Context triple: [Westbury, New York, distanceToNewYorkCityCenter, approximately 20–25 miles]
-
A.
distanceToNewYorkCity
chosen
Indicates the spatial distance between a given entity’s location and New York City.
-
B.
distanceToNewYorkCityApproxKm
Indicates the approximate physical distance, measured in kilometers, between a given entity’s location and New York City.
-
C.
distanceFromGrandCentral
Indicates the spatial distance between a given entity and Grand Central.
-
D.
distance to Midtown Manhattan (miles)
Indicates the physical separation between a location and Midtown Manhattan, measured in miles.
-
E.
distanceFromPennStation
Indicates the physical distance between a given location and Penn Station.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf716508190b4245bd5d89ae8c4 |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:14 p.m.