Triple

T9051607
Position Surface form Disambiguated ID Type / Status
Subject Bahnaric E216896 entity
Predicate hasLanguage P15 FINISHED
Object Mnong E558502 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: Mnong | Statement: [Bahnaric, hasLanguage, Mnong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mnong
Context triple: [Bahnaric, hasLanguage, Mnong]
  • A. M'Nông chosen
    The M'Nông are an indigenous ethnic group of Vietnam known for their traditional swidden agriculture, rich oral epics, and gong-based musical culture.
  • B. Mongpan
    Mongpan is a historic Shan principality in what is now Myanmar, known as one of the traditional Shan States.
  • C. Umrangso
    Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
  • D. Mugling
    Mugling is a small but important transport junction town in central Nepal, serving as a key crossroads between major highways connecting Kathmandu, Pokhara, and the southern plains.
  • E. Moundang
    The Moundang are an ethnic group of Central Africa, primarily known for their presence in northern Cameroon and neighboring Chad, with a distinct language and rich cultural traditions.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a700de48190aa9f61d850e01cbd completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebc90bf88190bbcdab07ca93f569 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.