Triple

T6905924
Position Surface form Disambiguated ID Type / Status
Subject Green Line Rivalry E159812 entity
Predicate namedAfter P63 FINISHED
Object Green Line (MBTA) E368394 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 (MBTA) | Statement: [Green Line Rivalry, namedAfter, Green Line (MBTA)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Line (MBTA)
Context triple: [Green Line Rivalry, namedAfter, Green Line (MBTA)]
  • A. Green Line (MBTA) chosen
    The Green Line (MBTA) is Boston’s light rail/streetcar line, serving key neighborhoods and institutions from downtown through areas like Allston, Brookline, and the Longwood Medical Area.
  • B. Green Line
    The Green Line is one of the main rapid transit routes of the Dubai Metro, serving key districts along Dubai Creek and connecting important commercial and residential areas.
  • C. Green Line
    Green Line is a hybrid-oriented trim level of the Saturn Aura midsize sedan designed to offer improved fuel efficiency and lower emissions.
  • D. Green Line
    The Green Line is one of the main rapid transit corridors of the Chennai Metro system in Chennai, India, connecting key areas of the city via elevated and underground stations.
  • E. Green Line
    The Green Line is one of the light rail routes in Houston’s METRORail system, serving the city’s East End and connecting it to downtown.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98b07f0819093595e958fa0317b completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a30c94fc8190b5994a7dc2b709c0 completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:25 p.m.