Triple

T16244143
Position Surface form Disambiguated ID Type / Status
Subject Frank Schmidt E394325 entity
Predicate leagueCoachedIn P7104 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: [Frank Schmidt, leagueCoachedIn, 3. Liga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3. Liga
Context triple: [Frank Schmidt, leagueCoachedIn, 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. Liga III
    Liga III is the third tier of the Romanian football league system, featuring semi-professional and amateur clubs competing in regionalized divisions.
  • D. 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.
  • 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 (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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560c6848190ae0e85ecb11a9264 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edf64a88190a9dd0c591c742977 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.