Triple

T11003450
Position Surface form Disambiguated ID Type / Status
Subject Indian Institute of Technology Delhi E260055 entity
Predicate chancellorEquivalentTitle P3394 FINISHED
Object Visitor 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: Visitor | Statement: [Indian Institute of Technology Delhi, chancellorEquivalentTitle, Visitor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chancellorEquivalentTitle
Context triple: [Indian Institute of Technology Delhi, chancellorEquivalentTitle, Visitor]
  • A. chancellorTitle chosen
    Indicates the official title or designation held by an individual serving in the role of chancellor.
  • B. hasMinisterTitle
    Indicates that an entity holds or is associated with a specific ministerial title or office.
  • C. chancellorPower
    Indicates that an entity holds the authoritative executive or administrative powers associated with the role of chancellor over another entity or domain.
  • D. hasChancellor
    Indicates that an entity holds the position or role of chancellor for another entity.
  • E. precededInOfficeAsChancellorBy
    Indicates that one individual assumed the role of Chancellor after another specific individual, who held the office immediately before them.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797546f448190946ee6442d657dc5 completed April 9, 2026, 12:11 p.m.
PD Predicate disambiguation batch_69d72e96be6c8190a46c69f61b2d8cd4 completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:25 p.m.