Triple

T15873970
Position Surface form Disambiguated ID Type / Status
Subject A-train (DCTA) E384898 entity
Predicate connectsAt P1139 FINISHED
Object Hebron Station E1180968 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: Hebron Station | Statement: [A-train (DCTA), connectsAt, Hebron Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hebron Station
Context triple: [A-train (DCTA), connectsAt, Hebron Station]
  • A. Hebron Station chosen
    Hebron Station is a commuter rail stop in Lewisville, Texas, served by the Denton County Transportation Authority’s A-train line.
  • B. Hillsdale station
    Hillsdale station is a Caltrain commuter rail stop in San Mateo, California, serving as a key transit hub for Peninsula commuters.
  • C. Hillsdale station
    Hillsdale station is a commuter rail stop in Hillsdale, New Jersey, served by NJ Transit's Pascack Valley Line.
  • D. Campbell Station
    Campbell Station is a small unincorporated community in Tennessee, United States.
  • E. Bethel station
    Bethel station is a commuter rail stop in Bethel, Connecticut, served by Metro-North Railroad on its Danbury Branch line.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fc02688190b6f070882b846516 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb041adac8190a8e6e5c646fdedf3 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.