Triple

T2089376
Position Surface form Disambiguated ID Type / Status
Subject Timor–Babar languages E32631 entity
Predicate hasMember P10 FINISHED
Object Mambae language E167219 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: Mambae language | Statement: [Timor–Babar languages, hasMember, Mambae language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mambae language
Context triple: [Timor–Babar languages, hasMember, Mambae language]
  • A. Mambae language chosen
    The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
  • B. Bambam language
    The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
  • C. Mamfe languages
    The Mamfe languages are a small group of closely related Niger-Congo languages spoken primarily in the Mamfe region of southwestern Cameroon.
  • D. Maban languages
    Maban languages are a small group of closely related Nilo-Saharan languages spoken primarily in eastern Chad and western Sudan.
  • E. Makushi language
    The Makushi language is an indigenous Cariban language spoken primarily by the Makushi people in northern Brazil and southern Guyana.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba730a5c8190a85be72149574d79 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2744d8108190b551a970956914c4 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:43 p.m.