Triple

T24757637
Position Surface form Disambiguated ID Type / Status
Subject Kâte language E619334 entity
Predicate hasPersonDistinction P157709 FINISHED
Object first person 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: first person | Statement: [Kâte language, hasPersonDistinction, first person]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPersonDistinction
Context triple: [Kâte language, hasPersonDistinction, first person]
  • A. hasDistinction
    Indicates that one entity possesses, is awarded, or is recognized with a special honor, title, or mark of excellence in relation to another entity or context.
  • B. hasNotableRecognitionFor
    Indicates that an entity has received notable recognition, such as awards, honors, or distinctions, specifically for another entity or achievement.
  • C. nameDistinction
    Indicates that two entities are distinguished from one another specifically by differences in their names.
  • D. hasNotableRecognitionAs
    Indicates that an entity has received notable recognition, distinction, or status specifically in the role, capacity, or identity denoted by the related entity.
  • E. hasMannerOfNotoriety
    Indicates that an entity is known or recognized in a particular way, specifying the manner or type of its notoriety.
  • 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_69e2fabbea94819092ed41348909622f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f44a417a58819081777e18dda149fd completed May 1, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69f442a977b08190b44eac040cb90211 completed May 1, 2026, 6:05 a.m.
PDg Predicate description generation batch_69f44a3adb7c8190941572f718b3b93c completed May 1, 2026, 6:37 a.m.
Created at: April 18, 2026, 4:26 a.m.