Triple

T14010551
Position Surface form Disambiguated ID Type / Status
Subject Nupoid E337065 entity
Predicate hasMember P10 FINISHED
Object Lijili language E1073890 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: Lijili language | Statement: [Nupoid, hasMember, Lijili language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lijili language
Context triple: [Nupoid, hasMember, Lijili language]
  • A. Lijili language chosen
    The Lijili language is a lesser-known Nupoid language spoken by a small ethnic community in Nigeria, belonging to the larger Niger-Congo language family.
  • B. Yulu language
    The Yulu language is a Central Sudanic language spoken by the Yulu people in parts of South Sudan and the Central African Republic.
  • C. Lifu language
    Lifu language is an Austronesian language spoken on Lifou Island in New Caledonia, more widely known as Drehu.
  • D. Ahirani language
    Ahirani language is an Indo-Aryan language spoken primarily in the Khandesh region of Maharashtra, India, known for its close relation to Marathi and distinct regional dialectal features.
  • E. Tujia language
    The Tujia language is a Sino-Tibetan language spoken primarily by the Tujia ethnic group in parts of central China, notably in mountainous areas of Hubei, Hunan, and neighboring provinces.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32b459c81908b652286f444e940 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.