Triple

T1787427
Position Surface form Disambiguated ID Type / Status
Subject Shakira E39422 entity
Predicate notableSong P4 FINISHED
Object TQG
"TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
 E199063 NE FINISHED

How this triple was built (4 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: [Shakira, notableSong, TQG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TQG
Context triple: [Shakira, notableSong, TQG]
  • A. TJVQ
    TJVQ is the ICAO airport code for Antonio Rivera Rodríguez Airport, a public airport serving the island of Vieques in Puerto Rico.
  • B. TIQ
    TIQ is the IATA airport code for Tinian International Airport serving the island of Tinian in the Northern Mariana Islands.
  • C. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • D. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • E. QGM
    QGM is the post-nominal letters used to denote recipients of The Queen's Gallantry Medal, a British decoration awarded for exemplary acts of bravery.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TQG
Triple: [Shakira, notableSong, TQG]
Generated description
"TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TQG
Target entity description: "TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
  • A. TJVQ
    TJVQ is the ICAO airport code for Antonio Rivera Rodríguez Airport, a public airport serving the island of Vieques in Puerto Rico.
  • B. TIQ
    TIQ is the IATA airport code for Tinian International Airport serving the island of Tinian in the Northern Mariana Islands.
  • C. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • D. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • E. QGM
    QGM is the post-nominal letters used to denote recipients of The Queen's Gallantry Medal, a British decoration awarded for exemplary acts of bravery.
  • F. None of above. chosen

Provenance (5 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650ea238819093a15df6f9d73e2d completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a66da8819085867355c174adce completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adaab488ec81909a340aab4916b90f completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adaf3cd23081909dd27c5de8e3f6d2 completed March 8, 2026, 5:17 p.m.
Created at: March 4, 2026, 7:32 p.m.