Triple

T35297971
Position Surface form Disambiguated ID Type / Status
Subject CLAS E1019422 entity
Predicate hasDepartments P199586 FINISHED
Object yes LITERAL 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: yes | Statement: [CLAS, hasDepartments, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDepartments
Context triple: [CLAS, hasDepartments, yes]
  • A. hasMapDepartment
    Indicates that an entity is associated with a specific department responsible for maps or mapping-related functions.
  • B. commonDepartments
    Indicates that two or more entities share one or more of the same departments in common.
  • C. hasBusinessDivision
    Indicates that an organization includes or is composed of a specific business division as a subordinate unit.
  • D. hasBranchOffice
    Indicates that one organization maintains a branch office or subsidiary location in another place or entity.
  • E. hasEmployees
    Indicates that one entity employs one or more other entities as its workers or staff.
  • F. None of above. chosen

Provenance (4 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_69f76de7eedc8190a3bdc64ebbc05b42 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff46afe7e481908f2862ed11c88db2 completed May 9, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69ff45e9151881909c444a655e852165 completed May 9, 2026, 2:34 p.m.
PDg Predicate description generation batch_69ff46aefe248190a80d898df6ef1340 completed May 9, 2026, 2:37 p.m.
Created at: May 3, 2026, 4:03 p.m.