Triple

T4813466
Position Surface form Disambiguated ID Type / Status
Subject B Division E107127 entity
Predicate operates P24 FINISHED
Object Q service E419864 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: Q service | Statement: [B Division, operates, Q service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Q service
Context triple: [B Division, operates, Q service]
  • A. Q service chosen
    The Q service is a New York City Subway line that runs through Brooklyn and Manhattan, providing local and express transit along the BMT Brighton and Broadway lines.
  • B. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • C. QA
    QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
  • D. QA
    QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
  • E. QQS
    QQS is the IATA station code for London St Pancras International, a major central London railway terminus and international high-speed rail hub.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c7f11ec8190b2c5d365d4cc4709 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4db1b67c81908272d8b7e7e4e1f1 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:23 p.m.