Triple

T13367860
Position Surface form Disambiguated ID Type / Status
Subject Boa Sr E318986 entity
Predicate languageSpoken P151 FINISHED
Object Bo language E318985 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: Bo language | Statement: [Boa Sr, languageSpoken, Bo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bo language
Context triple: [Boa Sr, languageSpoken, Bo language]
  • A. Bo language chosen
    Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • B. Bru language
    Bru language is a Mon–Khmer language spoken by the Bru people across parts of Laos, Vietnam, and Thailand.
  • C. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • D. Busoa language
    The Busoa language is an Austronesian language spoken by a small community in Southeast Sulawesi, Indonesia.
  • E. Bel languages
    Bel languages are a small group of closely related Austronesian languages spoken primarily along the north coast of Papua New Guinea.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306a4c688190bfbf5e695b2fd5e5 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:32 p.m.