Triple

T8428657
Position Surface form Disambiguated ID Type / Status
Subject TQG E199063 entity
Predicate originalLanguageTitle P13516 FINISHED
Object TQG E199063 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: TQG | Statement: [TQG, originalLanguageTitle, TQG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TQG
Context triple: [TQG, originalLanguageTitle, TQG]
  • A. TQG chosen
    "TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
  • B. TKQ
    TKQ is the IATA airport code for Kigoma Airport in western Tanzania, serving the town of Kigoma on Lake Tanganyika.
  • C. QG
    QG is the IATA airline designator for Citilink, a low-cost carrier based in Indonesia.
  • D. QG
    QG is the abbreviation for the Quetta Gladiators, a professional Twenty20 cricket franchise that competes in Pakistan's Super League.
  • E. TWG
    TWG is the commonly used abbreviation for The World Games, an international multi-sport event featuring disciplines not contested in the Olympic Games.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd125a53c8190b83a4f6148baa779 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d5a671c8190aebbe94e8838cddb completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:07 p.m.