Triple

T9763909
Position Surface form Disambiguated ID Type / Status
Subject Thai American E236735 entity
Predicate languageUsed P238 FINISHED
Object Thai language E316763 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: Thai language | Statement: [Thai American, languageUsed, Thai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thai language
Context triple: [Thai American, languageUsed, Thai language]
  • A. Thai language chosen
    Thai language is the official national language of Thailand, a tonal Tai-Kadai language used in government, education, media, and daily communication throughout the country.
  • B. THAI
    THAI is the airline callsign used by Thai Airways International, the flag carrier of Thailand.
  • C. Northern Thai language
    The Northern Thai language is a Tai-Kadai language spoken primarily in northern Thailand, known for its distinct phonology, vocabulary, and traditional literary heritage separate from Standard Thai.
  • D. Southern Thai language
    The Southern Thai language is a Tai-Kadai language spoken primarily in southern Thailand, known for its distinct phonology and vocabulary compared to Standard Thai.
  • E. Thai script
    Thai script is an abugida writing system used primarily for the Thai language, characterized by its distinctive rounded letters, complex consonant and vowel arrangements, and tone-marking diacritics.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda09ed54c8190a5879e14184cddf4 completed April 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcf2cdd08190a051d406e199f45a completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:25 p.m.