Triple

T14588116
Position Surface form Disambiguated ID Type / Status
Subject Chris Gayle E342369 entity
Predicate team P3756 FINISHED
Object Karachi Kings E450785 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: Karachi Kings | Statement: [Chris Gayle, team, Karachi Kings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karachi Kings
Context triple: [Chris Gayle, team, Karachi Kings]
  • A. Karachi Kings chosen
    Karachi Kings is a professional T20 cricket franchise based in Karachi that competes in Pakistan’s premier league, the Pakistan Super League (PSL).
  • B. Multan Sultans
    Multan Sultans is a professional franchise cricket team that competes in Pakistan's Super League (PSL), representing the city of Multan.
  • C. Lahore Qalandars
    Lahore Qalandars is a professional T20 cricket franchise based in Lahore that competes in Pakistan’s premier domestic league and is known for its passionate fan base and focus on developing young talent.
  • D. Peshawar Zalmi
    Peshawar Zalmi is a professional franchise cricket team that competes in the Pakistan Super League (PSL), representing the city of Peshawar.
  • E. Lahore Lions
    Lahore Lions is a Pakistani domestic cricket team based in Lahore that has competed in national limited-overs and Twenty20 competitions.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4237d88819097f3f9a40f5be152 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c1768881909eebb0dae15ac964 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.