Triple

T36618278
Position Surface form Disambiguated ID Type / Status
Subject Officer (Pinuno) of the Order of Lakandula E903663 entity
Predicate confermentType P161687 FINISHED
Object individual honor 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: individual honor | Statement: [Officer (Pinuno) of the Order of Lakandula, confermentType, individual honor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: confermentType
Context triple: [Officer (Pinuno) of the Order of Lakandula, confermentType, individual honor]
  • A. conferralType chosen
    Indicates the specific manner or category in which something (such as a title, degree, or honor) is formally granted or conferred from one party to another.
  • B. conferredIn
    Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or institution.
  • C. typicallyConferredUpon
    Indicates that something is most commonly or customarily granted, awarded, or bestowed upon a particular type of entity.
  • D. conferralBasis
    Indicates the underlying reason, criterion, or justification on which something (such as a status, right, or benefit) is granted or conferred.
  • E. conferredOn
    Indicates that something (such as an honor, title, degree, or benefit) has been formally granted or bestowed upon a particular entity.
  • 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_69f76e6960e4819092047756ceb9a17e completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fd389cb28c819099a77e28d25f258a completed May 8, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69fd3826d8048190ada79a5868d1d7f3 completed May 8, 2026, 1:11 a.m.
Created at: May 3, 2026, 4:11 p.m.