Triple

T17176254
Position Surface form Disambiguated ID Type / Status
Subject Orange E416866 entity
Predicate sharesTracksWith P5071 FINISHED
Object Green Line E211290 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: Green Line | Statement: [Orange, sharesTracksWith, Green Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Line
Context triple: [Orange, sharesTracksWith, Green Line]
  • A. Green Line
    The Green Line is one of the color-coded rapid transit routes in Atlanta’s MARTA rail system, serving key stations on the city’s east–west corridor.
  • B. Green Line chosen
    The Green Line is a light rail and subway–surface transit line in Philadelphia operated by SEPTA, serving multiple routes that run through Center City and into West Philadelphia.
  • C. Green Line
    The Green Line is the demarcation line established in the 1949 Armistice Agreements that serves as the internationally recognized boundary between Israel and the territories captured in 1967, including the West Bank.
  • D. Green Line
    The Green Line is the oldest and busiest line of the Athens Metro, running primarily at ground level and connecting key northern and southern suburbs through central Athens.
  • E. Green Line
    The Green Line is a major rapid transit route on the Taipei Metro system that connects the Songshan and Xindian districts.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0cec448190b30466628a2ff23f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fbff4b48190970073eb3b9d5d75 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.