Triple

T4414612
Position Surface form Disambiguated ID Type / Status
Subject Ashland/63rd Branch E94933 entity
Predicate hasService P182 FINISHED
Object Green Line trains E17058 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 trains | Statement: [Ashland/63rd Branch, hasService, Green Line trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Line trains
Context triple: [Ashland/63rd Branch, hasService, Green Line trains]
  • A. Green Line
    The Green Line is a light rail service in the Boston metropolitan area operated by the Massachusetts Bay Transportation Authority (MBTA), known for serving key downtown and surrounding neighborhoods.
  • 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 chosen
    The Green Line is one of Chicago's elevated rapid transit routes, running primarily along the city's West and South Sides as part of the Chicago "L" system.
  • E. 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.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e940d48190b49cca6796d60de4 completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f617012481908b8f1a9a1bc5efaf completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:29 p.m.