Triple

T12138398
Position Surface form Disambiguated ID Type / Status
Subject Idomoid languages E289119 entity
Predicate hasMember P10 FINISHED
Object Igede language E335164 NE 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: Igede language | Statement: [Idomoid languages, hasMember, Igede language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Igede language
Context triple: [Idomoid languages, hasMember, Igede language]
  • A. Igede language chosen
    Igede language is a Volta–Niger language spoken primarily by the Igede people of central Nigeria.
  • B. Yidgha language
    The Yidgha language is an Eastern Iranian language spoken in parts of northeastern Afghanistan, closely related to Munji and noted for preserving archaic features within the Pamir language group.
  • C. Negidal language
    The Negidal language is a critically endangered Tungusic language traditionally spoken by the Negidal people in the Russian Far East along the lower Amur River.
  • D. Lasgerdi language
    The Lasgerdi language is an Iranian language spoken in parts of north-central Iran and classified within the Semnani branch of Northwestern Iranian languages.
  • E. Dida language
    Dida language is a Niger-Congo language spoken primarily in Côte d'Ivoire, belonging to the Kru branch and known for its tonal and dialectal diversity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158eef48819083bdce283a363414 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f690ae408190966bb4fe8feaa7d2 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.