Triple

T23396468
Position Surface form Disambiguated ID Type / Status
Subject Kitsai language E559371 entity
Predicate endonymUsedBySpeakers P1435 FINISHED
Object Kichai (various spellings) 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: Kichai (various spellings) | Statement: [Kitsai language, endonymUsedBySpeakers, Kichai (various spellings)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: endonymUsedBySpeakers
Context triple: [Kitsai language, endonymUsedBySpeakers, Kichai (various spellings)]
  • A. hasEndonym chosen
    Indicates that an entity has a name or designation used by native speakers or within its own local language or community.
  • B. isEndonym
    Indicates that a name is used by a group to refer to themselves or their own place/language, rather than being an external or foreign designation.
  • C. hasEndonymLanguage
    Indicates that the language specified is the one in which a name or term is expressed in its own native or local form.
  • D. ethnonymInLanguage
    Indicates that a given term is the name used in a specified language to refer to the people of a particular ethnic group or nationality.
  • E. isSpokenAs
    Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4dc48008190bdcf92f8d9a5232d completed April 29, 2026, 6:27 a.m.
PD Predicate disambiguation batch_69f061dde2e481908308952f9c0d3c2e completed April 28, 2026, 7:29 a.m.
Created at: April 17, 2026, 5:36 p.m.