Triple

T1917345
Position Surface form Disambiguated ID Type / Status
Subject Jingzhou E40047 entity
Predicate historicalName P65 FINISHED
Object Jiangling E184512 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: Jiangling | Statement: [Jingzhou, historicalName, Jiangling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiangling
Context triple: [Jingzhou, historicalName, Jiangling]
  • A. Jiangling chosen
    Jiangling was an important ancient Chinese city that served as a major political and cultural center of the State of Chu during the Zhou dynasty period.
  • B. SAIC Motor
    SAIC Motor is a major Chinese state-owned automotive manufacturer and one of the country’s largest carmakers, producing vehicles under its own brands and through joint ventures with global and regional partners.
  • C. Wuling
    Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
  • D. Baojun
    Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
  • E. Dongfeng Liuzhou Motor
    Dongfeng Liuzhou Motor is a Chinese automobile manufacturer known for producing commercial vehicles, passenger cars, and SUVs under the Dongfeng brand.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2107fe48190bafff825f1f805ad completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3dcc288819096855351a0e69069 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.