Triple

T23353490
Position Surface form Disambiguated ID Type / Status
Subject FHS E592980 entity
Predicate shortName P43 FINISHED
Object FHS 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: FHS | Statement: [FHS, shortName, FHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FHS
Context triple: [FHS, shortName, FHS]
  • A. FHS chosen
    FHS is the Norwegian Defence University College, Norway’s primary institution for higher military education and research.
  • B. FHS UK
    FHS UK is the Faculty of Humanities at Charles University in Prague, a higher education institution focused on interdisciplinary studies in the humanities and social sciences.
  • C. CFHS
    CFHS is the Canadian Forces Health Services, the branch of the Canadian Armed Forces responsible for providing medical and dental care to military personnel.
  • D. FMHS
    FMHS is a large public high school located in Flower Mound, Texas, known for its strong academic programs and competitive extracurricular activities.
  • E. SHS State
    SHS State refers to the short-lived South Slavic state formed in 1918 that united Slovenes, Croats, and Serbs before merging into the Kingdom of Serbs, Croats and Slovenes (later Yugoslavia).
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a15d0a48190862179254c09c6d1 completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:20 p.m.