Triple

T1511156
Position Surface form Disambiguated ID Type / Status
Subject North Quincy E32015 entity
Predicate isOnBranch P20674 FINISHED
Object Red Line mainline E44935 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: Red Line mainline | Statement: [North Quincy, isOnBranch, Red Line mainline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Line mainline
Context triple: [North Quincy, isOnBranch, Red Line mainline]
  • A. Red Line chosen
    The Red Line is a major rapid transit route in the Boston metropolitan area, operated by the MBTA and running primarily north–south through key neighborhoods and suburbs.
  • B. Red Line
    Red Line is one of the main rapid transit routes of the Dubai Metro, running along key areas of the city and serving many of its major commercial and residential districts.
  • C. Red Line
    The Red Line is one of the main lines of the Lisbon Metro system, connecting key transport hubs and eastern districts of Portugal’s capital.
  • D. Red Line
    The Red Line is one of the major corridors of the Delhi Metro rapid transit system, serving numerous densely populated areas in and around Delhi.
  • E. Red Line
    The Red Line is a major light rail route in the Dallas Area Rapid Transit (DART) system serving key corridors across the Dallas–Fort Worth metro area.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61db41c88190a2d97cc9cbbc3f06 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5162c078819085c7fbc11f679d56 completed March 9, 2026, 4:49 a.m.
Created at: March 4, 2026, 7:26 p.m.