Triple

T14988620
Position Surface form Disambiguated ID Type / Status
Subject Varvarin E373770 entity
Predicate primarySchoolPresence P115410 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: [Varvarin, primarySchoolPresence, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primarySchoolPresence
Context triple: [Varvarin, primarySchoolPresence, yes]
  • A. primarySchoolInvolved
    Indicates that a primary school participates in, is affected by, or plays a role in the specified event, situation, or relationship.
  • B. primarySchool
    Indicates that one entity serves as the primary (elementary) school attended by, associated with, or designated for the other entity.
  • C. primarySchoolOpened
    Indicates that a primary school has begun operating or officially started its educational activities.
  • D. hasPrimaryEducationFacilityType chosen
    Indicates the type or category of primary education facility associated with an entity.
  • E. primaryStudentPopulation
    Indicates the number or group of students who are enrolled at the primary or elementary level within an educational institution or system.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7148a308190a687f4d0d61397c6 completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a6169b48190a679609febd2d0e3 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:53 a.m.