Triple

T36631670
Position Surface form Disambiguated ID Type / Status
Subject Miza E904336 entity
Predicate spokenBySubsetOf P114101 FINISHED
Object Moru people NE NERFINISHED

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: Moru people | Statement: [Miza, spokenBySubsetOf, Moru people]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spokenBySubsetOf
Context triple: [Miza, spokenBySubsetOf, Moru people]
  • A. isSubsetOfSpeakersOf chosen
    Indicates that the set of speakers of one language or variety is entirely contained within the set of speakers of another.
  • B. spokenInPartOf
    Indicates that a language or dialect is spoken within a specific subregion or part of a larger geographic or administrative area.
  • C. spokenOfAs
    Indicates that one entity is referred to, characterized, or talked about in a particular way by another entity or within a given context.
  • D. spokenByMinorityIn
    Indicates that a language or dialect is used primarily by a minority group within a specified geographic or political region.
  • E. isSpokenByMinority
    Indicates that the language or dialect is used primarily by a numerically smaller or less dominant group within a larger population.
  • 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_69f76e6c63e48190b1d0c3a79a6c7406 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9f5a8848190ba956ff27f44e396 completed May 3, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69f7c8999a348190abc1895eaa6e036d completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:11 p.m.