Triple

T2519745
Position Surface form Disambiguated ID Type / Status
Subject Quezon City E55493 entity
Predicate hasNickname P39 FINISHED
Object QC E55493 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: QC | Statement: [Quezon City, hasNickname, QC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QC
Context triple: [Quezon City, hasNickname, QC]
  • A. QC
    QC (Queen's Counsel) is a prestigious rank awarded to senior barristers in some Commonwealth legal systems, recognizing their excellence and leadership in advocacy.
  • B. QC chosen
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • C. 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.
  • D. QA
    QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
  • E. QA
    QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2343e3081908819dc58d8ff40ce completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cec74ac819093529ce5843ca320 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:46 p.m.