Triple

T7674390
Position Surface form Disambiguated ID Type / Status
Subject Associated Television E173823 entity
Predicate lostFranchise P15133 FINISHED
Object Midlands ITV franchise LITERAL 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: Midlands ITV franchise | Statement: [Associated Television, lostFranchise, Midlands ITV franchise]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lostFranchise
Context triple: [Associated Television, lostFranchise, Midlands ITV franchise]
  • A. losingFranchise chosen
    Indicates that one entity ceases to hold or control a franchise previously granted to it by another entity.
  • B. losingLeagueTeam
    Indicates that a team is the one that lost in a particular league game or competition.
  • C. cityLosingFranchise
    Indicates that a city is losing, or has lost, a professional sports franchise or major team based there.
  • D. loserLeague
    Indicates that an entity participates in or belongs to a league or competition specifically designated for losers or last-place finishers.
  • E. losingTeamLeague
    Indicates that a team is the losing side in a game or match within a particular league.
  • F. None of above.

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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7048b0b448190889bd40e0a38e51a completed March 27, 2026, 10:28 p.m.
PD Predicate disambiguation batch_69c701618d3481908be84b76f36ac5a1 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 4 p.m.