Triple

T11114609
Position Surface form Disambiguated ID Type / Status
Subject Sinyar language E262851 entity
Predicate hasNeighboringLanguages P16383 FINISHED
Object Daju languages E247399 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: Daju languages | Statement: [Sinyar language, hasNeighboringLanguages, Daju languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daju languages
Context triple: [Sinyar language, hasNeighboringLanguages, Daju languages]
  • A. Daju languages chosen
    The Daju languages are a small group of closely related Eastern Sudanic languages spoken primarily in parts of Sudan and Chad.
  • B. Teda–Daza languages
    The Teda–Daza languages are a closely related pair of Saharan languages spoken primarily by the Toubou people across Chad, Niger, and Libya.
  • C. Yuin–Kuric languages
    The Yuin–Kuric languages are a subgroup of Australian Aboriginal languages traditionally spoken in southeastern Australia, including the language of the Wiradjuri people.
  • D. Jarawan languages
    Jarawan languages are a small group of Bantoid (often considered Bantu-related) languages spoken primarily in parts of Nigeria and Cameroon.
  • E. Katuic languages
    Katuic languages are a branch of the Austroasiatic language family spoken primarily in Laos, Vietnam, and neighboring regions by various indigenous ethnic groups.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa637888190935e852281408356 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d7da99881908d38ea66c37dfb92 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.