Triple

T18909139
Position Surface form Disambiguated ID Type / Status
Subject Czech 2. Liga E462550 entity
Predicate alsoKnownAs P39 FINISHED
Object Druhá liga NE NERFINISHED

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: Druhá liga | Statement: [Czech 2. Liga, alsoKnownAs, Druhá liga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Druhá liga
Context triple: [Czech 2. Liga, alsoKnownAs, Druhá liga]
  • A. 2. Liga
    2. Liga is the common shorthand name for Germany’s second-tier professional football league, officially known as the 2. Bundesliga.
  • B. 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.
  • C. 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.
  • D. Czech 2. Liga chosen
    Czech 2. Liga is the second-highest professional football league in the Czech Republic, sitting directly below the Czech First League in the national league system.
  • E. Liga II
    Liga II is the second tier of the Romanian professional football league system, sitting directly below Liga I.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c62182f48190ad81b6ef0c7bc7da completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.