Triple

T12252333
Position Surface form Disambiguated ID Type / Status
Subject Liga 1 E292003 entity
Predicate abbreviation P43 FINISHED
Object Liga 1 E292003 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: Liga 1 | Statement: [Liga 1, abbreviation, Liga 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liga 1
Context triple: [Liga 1, abbreviation, Liga 1]
  • A. Liga 1 chosen
    Liga 1 is the top-tier professional football league in Indonesia, featuring the country’s leading clubs in its premier competition.
  • B. Liga I
    Liga I is the top professional football division in Romania, featuring the country’s leading clubs in its premier league competition.
  • C. Liga 3
    Liga 3 is a lower-tier Georgian football league that sits beneath Erovnuli Liga 2 in the national league system.
  • D. PT Liga Indonesia Baru
    PT Liga Indonesia Baru is the company responsible for managing and commercializing Indonesia’s top-tier professional football league system.
  • E. Piala Indonesia
    Piala Indonesia is Indonesia’s premier national knockout football cup competition, featuring clubs from multiple tiers of the country’s league system.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc849308190b6ff416f8b4f01e8 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e620ed88190b46d256ebe994714 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.