Triple

T11455536
Position Surface form Disambiguated ID Type / Status
Subject Gujjars E271515 entity
Predicate VanGujjarOccupation P2374 FINISHED
Object buffalo herding 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: buffalo herding | Statement: [Gujjars, VanGujjarOccupation, buffalo herding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: VanGujjarOccupation
Context triple: [Gujjars, VanGujjarOccupation, buffalo herding]
  • A. victimOccupation
    Indicates the profession or job role held by the person who is the victim in an event or incident.
  • B. subjectOccupation chosen
    Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
  • C. endedOccupationOf
    Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
  • D. patronOccupation
    Indicates that one entity serves as the occupation or professional role held by a patron entity.
  • E. occupationType
    Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
  • F. None of above.

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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f2138081909408c7916cef99c9 completed April 9, 2026, 10:06 p.m.
PD Predicate disambiguation batch_69d80867ff248190bb157fa9e355353b completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:35 p.m.