Triple

T637436
Position Surface form Disambiguated ID Type / Status
Subject Thai language E16655 entity
Predicate closelyRelatedTo P37 FINISHED
Object Lao language E64990 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: Lao language | Statement: [Thai language, closelyRelatedTo, Lao language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lao language
Context triple: [Thai language, closelyRelatedTo, Lao language]
  • A. Lao chosen
    Lao is the official and most widely spoken language of Laos, belonging to the Tai-Kadai language family and closely related to Thai.
  • B. 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.
  • C. Mon-Khmer
    Mon-Khmer is a major branch of the Austroasiatic language family that includes numerous languages spoken across mainland Southeast Asia and parts of South Asia.
  • D. Hmong
    Hmong is a Hmong-Mien language spoken by the Hmong people, many of whom are part of the Asian American community, with several dialects and a rich oral tradition.
  • E. Achuar-Shiwiar language
    The Achuar-Shiwiar language is a Jivaroan language spoken by the Achuar and Shiwiar Indigenous peoples of the Amazon rainforest in Ecuador and Peru.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee7fdbc8190858e42bb1bfdb3ff completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57405d6f48190b55542d50d3a1f22 completed March 2, 2026, 11:27 a.m.
Created at: March 1, 2026, 7:35 p.m.