Triple

T23222850
Position Surface form Disambiguated ID Type / Status
Subject Quebec Route 138 E580937 entity
Predicate hasAbbreviation P43 FINISHED
Object QC 138 NE NERFINISHED

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: QC 138 | Statement: [Quebec Route 138, hasAbbreviation, QC 138]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QC 138
Context triple: [Quebec Route 138, hasAbbreviation, QC 138]
  • A. The QC
    The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
  • B. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • C. QC
    QC was the IATA airline designator assigned to East African Airways, the former multinational flag carrier jointly owned by Kenya, Tanzania, and Uganda.
  • D. QC chosen
    QC is the standard abbreviation for Quebec, the predominantly French-speaking province in eastern Canada known for cities like Montreal and Quebec City.
  • E. QC
    QC is the common abbreviation for Queen's College, one of Hong Kong's oldest and most prestigious secondary schools.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922a452c81909b48df157643f6bd completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.