Triple

T7984279
Position Surface form Disambiguated ID Type / Status
Subject Partition of Jin E185650 entity
Predicate successorState P3025 FINISHED
Object Han E428478 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: Han | Statement: [Partition of Jin, successorState, Han]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Han
Context triple: [Partition of Jin, successorState, Han]
  • A. Han chosen
    Han refers to the majority ethnic group in China, historically associated with Chinese civilization, language, and culture.
  • B. Han
    Han is a common transliteration of the historical Central Asian title "Khan," often associated with rulers and nobility in various Turkic and Mongolic cultures.
  • C. Hal
    Hal is a masculine given name, commonly used as a diminutive form of Harold.
  • D. HAN
    HAN is the standard abbreviation used for the Hanshin Tigers, a professional baseball team in Japan's Nippon Professional Baseball league.
  • E. HAN
    HAN is the IATA airport code for Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c2b543c81909b82bc478d579e0b completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0e0b2748190930c22c6157d1b07 completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:15 p.m.