Triple

T15198822
Position Surface form Disambiguated ID Type / Status
Subject Igede E363210 entity
Predicate languageSpoken P151 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: [Igede, languageSpoken, Igede language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Igede language
Context triple: [Igede, languageSpoken, 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b476208190a5119710c518bb1f completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3342624819087be35acadd88136 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.