Triple

T5244462
Position Surface form Disambiguated ID Type / Status
Subject TSV 1860 Munich E118423 entity
Predicate league P888 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: [TSV 1860 Munich, league, 3. Liga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3. Liga
Context triple: [TSV 1860 Munich, league, 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b4fa0ec8190bce3da09aa768726 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef82f2738819080c5a0963f6dbbb0 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.