Triple

T7983490
Position Surface form Disambiguated ID Type / Status
Subject Regionalliga E185629 entity
Predicate promotionTo P8176 FINISHED
Object 3. Liga E185628 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: 3. Liga | Statement: [Regionalliga, promotionTo, 3. Liga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3. Liga
Context triple: [Regionalliga, promotionTo, 3. Liga]
  • A. 3. Liga chosen
    3. Liga is the third tier of professional football in Germany, sitting below the Bundesliga and 2. Bundesliga in the national league system.
  • 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. 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.
  • D. Czech 2. Liga
    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. Erovnuli Liga
    Erovnuli Liga is the top professional football division in Georgia, featuring the country’s leading clubs in its premier league competition.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c2a1aa881909c3cea280dff38f5 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc567cfe548190bbd163a32c340bcc completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:15 p.m.