Triple

T17284842
Position Surface form Disambiguated ID Type / Status
Subject Horst Seehofer E419626 entity
Predicate memberOfPoliticalParty P10 FINISHED
Object CSU E89828 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: CSU | Statement: [Horst Seehofer, memberOfPoliticalParty, CSU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSU
Context triple: [Horst Seehofer, memberOfPoliticalParty, CSU]
  • A. CSU
    CSU is a public research university located in downtown Cleveland, Ohio, known for its diverse academic programs and strong connections to regional industry and community partners.
  • B. CSU chosen
    CSU is a conservative Christian-democratic political party operating exclusively in Bavaria and partnering federally with Germany’s Christian Democratic Union (CDU).
  • C. CSU
    CSU is a private Christian university located in North Charleston, South Carolina, offering a range of undergraduate and graduate programs.
  • D. CSU
    CSU is the commonly used abbreviation for Central South University, a major comprehensive research university located in Changsha, Hunan, China.
  • E. CSUS
    CSUS is the common abbreviation for California State University, Sacramento, a public university in California’s capital city.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332cabdc8190bbc711ab806d53bf completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017955448481909c2464a14c2a9799 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.