Triple

T7984355
Position Surface form Disambiguated ID Type / Status
Subject Lord Shang E185652 entity
Predicate deathPlace P21 FINISHED
Object Xianyang E157600 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: Xianyang | Statement: [Lord Shang, deathPlace, Xianyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xianyang
Context triple: [Lord Shang, deathPlace, Xianyang]
  • A. Baoji
    Baoji is a major industrial and transportation hub city in western Shaanxi Province, China, known for its manufacturing base and historical sites.
  • B. Tongchuan
    Tongchuan is a prefecture-level city in central Shaanxi Province, China, historically known for its coal mining industry and location on the Loess Plateau.
  • C. Xi'an
    Xi'an is a major historic city in central China, famed as the eastern terminus of the Silk Road and home to the Terracotta Army of Emperor Qin Shi Huang.
  • D. Hanzhong
    Hanzhong is a historic prefecture-level city in southwestern Shaanxi, China, known as a key gateway between northern and southern China and for its rich cultural and natural landscapes.
  • E. Xianyang, China chosen
    Xianyang is a historic city in Shaanxi Province, China, known as the former capital of the Qin dynasty and located near the modern metropolis of Xi’an.
  • 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_69cd94574a9c8190b826438a51f9ca02 completed April 1, 2026, 9:55 p.m.
Created at: March 30, 2026, 5:15 p.m.