Triple

T15473391
Position Surface form Disambiguated ID Type / Status
Subject I liga E376720 entity
Predicate relegationTo P2678 FINISHED
Object II liga E388555 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: II liga | Statement: [I liga, relegationTo, II liga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: II liga
Context triple: [I liga, relegationTo, II liga]
  • A. II liga chosen
    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.
  • B. 2. Liga
    2. Liga is the common shorthand name for Germany’s second-tier professional football league, officially known as the 2. Bundesliga.
  • C. Liga II
    Liga II is the second tier of the Romanian professional football league system, sitting directly below Liga I.
  • D. 3. Liga
    3. Liga is the third tier of professional football in Germany, sitting below the Bundesliga and 2. Bundesliga in the national league system.
  • E. Erovnuli Liga 2
    Erovnuli Liga 2 is the second tier of professional football in Georgia, sitting directly below the country’s top division in the 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6c57308190b4cfe661c26addd4 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d075e64819097061ef4c205577e completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.