Triple

T1544278
Position Surface form Disambiguated ID Type / Status
Subject Yonkers Raceway E32940 entity
Predicate distanceFromCentralPoint P1299 FINISHED
Object approximately 2 miles from the Bronx border 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 2 miles from the Bronx border | Statement: [Yonkers Raceway, distanceFromCentralPoint, approximately 2 miles from the Bronx border]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distanceFromCentralPoint
Context triple: [Yonkers Raceway, distanceFromCentralPoint, approximately 2 miles from the Bronx border]
  • A. distanceFromParisCenter
    Indicates the measured distance between a given location and the central point of Paris.
  • B. distanceFromTerminus
    Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
  • C. distanceFromDowntown chosen
    Indicates the physical distance between a given location and the central downtown area.
  • D. distanceFromHypocenter
    Indicates the measured distance between a specified location and the hypocenter (origin point) of an event such as an earthquake.
  • E. distanceCharacteristic
    Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa95c1a2948190a2b98469afec1a7d completed March 6, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69a907b2453c8190a41f6b88c8217d1e completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.