Triple

T7430398
Position Surface form Disambiguated ID Type / Status
Subject Tonsea language E171473 entity
Predicate hasNeighboringLanguage P16383 FINISHED
Object Tonsawang language E167955 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: Tonsawang language | Statement: [Tonsea language, hasNeighboringLanguage, Tonsawang language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonsawang language
Context triple: [Tonsea language, hasNeighboringLanguage, Tonsawang language]
  • A. Tonsawang language chosen
    Tonsawang language is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia, and is part of the Minahasan subgroup.
  • B. Tawala language
    Tawala language is an Austronesian language of the Papuan Tip region of Papua New Guinea, spoken primarily in coastal communities of Milne Bay Province.
  • C. Pa’O language
    The Pa’O language is a Tibeto-Burman language spoken primarily by the Pa’O (Taungthu) people of Myanmar, especially in Shan and Kayin States.
  • D. Thavung language
    The Thavung language is a lesser-known Vietic language spoken by an ethnic minority community in parts of Laos and Vietnam.
  • E. Tangsa language
    The Tangsa language is a Sino-Tibetan language spoken primarily by the Tangsa people in northeastern India and parts of Myanmar.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f32324c481908c9ba594e8456728 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f135a348190ae9edc02a19b2278 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:12 p.m.