Triple

T17445597
Position Surface form Disambiguated ID Type / Status
Subject Yecheng E424773 entity
Predicate locatedIn P40 FINISHED
Object Anyang region 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: Anyang region | Statement: [Yecheng, locatedIn, Anyang region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anyang region
Context triple: [Yecheng, locatedIn, Anyang region]
  • A. Anyang chosen
    Anyang is an ancient city in northern China renowned as one of the historical capitals of the Shang dynasty and a major archaeological site.
  • B. Anyang
    Anyang is a mid-sized South Korean city in the Seoul Capital Area known for its residential districts, light industry, and proximity to central Seoul.
  • C. Rehe (Jehol) region
    The Rehe (Jehol) region was a historically contested frontier area in northeastern China, bordering Manchuria and Inner Mongolia, that became a key battleground in conflicts between Chinese and Japanese forces in the early 20th century.
  • D. Yeongseo region
    The Yeongseo region is a western inland area of Gangwon Province in South Korea, known for its mountainous terrain and distinct local culture.
  • E. Xihe District
    Xihe District is an administrative urban district within the city of Fuxin in Liaoning Province, northeastern China.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffafec48190b25980318cea353f completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.