Triple

T1083327
Position Surface form Disambiguated ID Type / Status
Subject Dallas Area Rapid Transit E23995 entity
Predicate hasStation P35 FINISHED
Object Victory Station E166105 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: Victory Station | Statement: [Dallas Area Rapid Transit, hasStation, Victory Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victory Station
Context triple: [Dallas Area Rapid Transit, hasStation, Victory Station]
  • A. Victory Station chosen
    Victory Station is a Dallas Area Rapid Transit (DART) light rail and commuter rail station located near the American Airlines Center in Dallas, Texas.
  • B. Logan station
    Logan station is an underground rapid transit stop in Philadelphia, Pennsylvania, serving the Logan neighborhood on SEPTA’s Broad Street Line.
  • C. Suburban Station
    Suburban Station is a major underground commuter rail hub in Center City Philadelphia that serves as a key node in the SEPTA Regional Rail network.
  • D. Snyder station
    Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
  • E. Jefferson Station
    Jefferson Station is a major regional rail hub in Center City Philadelphia that connects numerous SEPTA commuter lines and provides convenient access to nearby attractions and commercial areas.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b95e56948190a1e92367ad7240b7 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69addf1667908190bdcb6d200577418d completed March 8, 2026, 8:41 p.m.
Created at: March 1, 2026, 7:42 p.m.