Triple

T14504619
Position Surface form Disambiguated ID Type / Status
Subject Oțelul Galați E340232 entity
Predicate league P888 FINISHED
Object Liga II E712705 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 II | Statement: [Oțelul Galați, league, Liga II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liga II
Context triple: [Oțelul Galați, league, Liga II]
  • A. Liga II chosen
    Liga II is the second tier of the Romanian professional football league system, sitting directly below Liga I.
  • B. Liga 2
    Liga 2 is the second-tier professional football league in Indonesia, sitting directly below the top-flight Liga 1 in the national league system.
  • C. Liga 3
    Liga 3 is a lower-tier Georgian football league that sits beneath Erovnuli Liga 2 in the national league system.
  • D. Liga 3
    Liga 3 is the third tier of the Indonesian football league system, serving as a nationwide competition and development platform for clubs across the country.
  • E. II liga
    II liga is the third tier of the Polish football league system, featuring professional and semi-professional clubs competing below the I liga and Ekstraklasa.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e25a2481908b8394e9a19f3b64 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9dba1081909154362b922a2417 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.