Triple

T7877830
Position Surface form Disambiguated ID Type / Status
Subject Cao Wei E182901 entity
Predicate capital P234 FINISHED
Object Xuchang E226312 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: Xuchang | Statement: [Cao Wei, capital, Xuchang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xuchang
Context triple: [Cao Wei, capital, Xuchang]
  • A. Xuchang chosen
    Xuchang is a historically significant city in central China, known as a former capital during the Three Kingdoms period and now an important industrial and transportation hub.
  • B. Xinxiang
    Xinxiang is a prefecture-level industrial and transportation hub city located in northern Henan Province, China.
  • C. Zhumadian
    Zhumadian is a prefecture-level city in southern Henan Province, China, known as an important regional transport and agricultural hub.
  • D. Zhoukou
    Zhoukou is a prefecture-level city in eastern Henan Province, China, known as an important agricultural and transportation hub with historical and cultural significance.
  • E. Shangqiu
    Shangqiu is a historic prefecture-level city in eastern Henan Province, China, known as one of the country’s ancient capitals and an important regional transportation hub.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bd64e481909f699e7dd2818b8f completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63a38e8081908c72d0b52efa1792 completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 4:57 p.m.