Triple

T16040896
Position Surface form Disambiguated ID Type / Status
Subject G.C. Lahore E389090 entity
Predicate shortName P43 FINISHED
Object GC Lahore E389089 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: GC Lahore | Statement: [G.C. Lahore, shortName, GC Lahore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GC Lahore
Context triple: [G.C. Lahore, shortName, GC Lahore]
  • A. GC Lahore chosen
    GC Lahore is a prestigious public university in Lahore, Pakistan, renowned for its historic campus and strong academic tradition.
  • B. Lahore Lions
    Lahore Lions is a Pakistani domestic cricket team based in Lahore that has competed in national limited-overs and Twenty20 competitions.
  • C. Islamabad United
    Islamabad United is a professional T20 cricket franchise based in Islamabad that competes in Pakistan’s premier domestic league and is known for its strong performances and multiple championship titles.
  • D. 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.
  • E. CSA Lahore
    CSA Lahore is a premier training institution in Pakistan that prepares newly inducted civil servants for careers in the country’s administrative and public service cadres.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18340686881909135fc43a0a71b20 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd77c5481908644742a8a8f3e68 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.