Triple

T17630928
Position Surface form Disambiguated ID Type / Status
Subject Tuoba Gui E429972 entity
Predicate predecessorState P10077 FINISHED
Object Dai NE NERFINISHED

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: [Tuoba Gui, predecessorState, Dai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dai
Context triple: [Tuoba Gui, predecessorState, 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. Daiukku
    Daiukku is an alternative name for Deioces, the legendary founder and first king of the Median Empire in ancient Iran.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc192dc8190854f1fe5d5ed696a completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.