Triple

T11397751
Position Surface form Disambiguated ID Type / Status
Subject Day language E270022 entity
Predicate hasAlternativeName P39 FINISHED
Object Dai E197136 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: Dai | Statement: [Day language, hasAlternativeName, Dai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dai
Context triple: [Day language, hasAlternativeName, Dai]
  • A. Dai
    Dai is a common Welsh given name, often used as a familiar or diminutive form of David.
  • B. Dai chosen
    The Dai are an ethnic group in southern China and Southeast Asia, culturally related to the Thai and Lao peoples and known for their Theravada Buddhist traditions, distinctive festivals, and stilted wooden houses.
  • C. Daik
    Daik is a historic town on Lingga Island in Indonesia that once served as the political and cultural center of the Riau-Lingga Sultanate.
  • D. Daisi
    Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
  • E. Bai
    The Bai are an ethnic minority group in China known for their distinct language, traditional architecture, and rich cultural heritage centered around the Dali region of Yunnan.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80019d3d48190a2f473deb6eae33a completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58cd74280819092f8c420630f4889 completed April 20, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:34 p.m.