Triple

T4313201
Position Surface form Disambiguated ID Type / Status
Subject Detroit QLine E94121 entity
Predicate alsoKnownAs P39 FINISHED
Object QLine E424753 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: QLine | Statement: [Detroit QLine, alsoKnownAs, QLine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QLine
Context triple: [Detroit QLine, alsoKnownAs, QLine]
  • A. QLine chosen
    QLine is a modern streetcar system serving downtown and Midtown Detroit, Michigan.
  • B. Q line
    The Q line is a New York City Subway service that runs along the BMT Brighton Line in Brooklyn and through Manhattan, connecting neighborhoods like Coney Island and Midtown.
  • C. K-lines
    K-lines are a cognitive theory construct proposed by Marvin Minsky in "The Society of Mind," representing memory traces that, when activated, re-evoke networks of mental agents involved in past problem-solving.
  • D. C line
    The C line is a route within Copenhagen’s S-train suburban rail network, providing frequent commuter service between central Copenhagen and its outlying districts.
  • E. 1 Line
    The 1 Line is a light rail route in the Seattle metropolitan area that forms the core north–south spine of Sound Transit's Link light rail system.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f319c08190bb40a9fc5933728d completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c75f30f48190ab030d635bd334af completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:12 p.m.