Triple

T2957605
Position Surface form Disambiguated ID Type / Status
Subject Thai government E79968 entity
Predicate languageOfAdministration P236 FINISHED
Object Thai language E16655 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 government, languageOfAdministration, Thai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thai language
Context triple: [Thai government, languageOfAdministration, Thai language]
  • A. THAI
    THAI is the airline callsign used by Thai Airways International, the flag carrier of Thailand.
  • B. 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.
  • C. Lao
    Lao is the official and most widely spoken language of Laos, belonging to the Tai-Kadai language family and closely related to Thai.
  • D. Thai chosen
    Thai is the official national language of Thailand, belonging to the Tai-Kadai language family and written in its own unique script.
  • E. Lao script
    Lao script is an abugida writing system of the Tai-Kadai language family, primarily used to write the Lao language and closely related to the Thai script.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992b33e081909d22a19d5064c47d completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc8a10848190b8eec482252eb76b completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:57 p.m.