Triple

T414080
Position Surface form Disambiguated ID Type / Status
Subject Yangtze River Economic Belt E9552 entity
Predicate includesMajorCity P316 FINISHED
Object Yichang E39209 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: Yichang | Statement: [Yangtze River Economic Belt, includesMajorCity, Yichang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yichang
Context triple: [Yangtze River Economic Belt, includesMajorCity, Yichang]
  • A. Yichang chosen
    Yichang is a key city in western Hubei, China, best known as the gateway to the Three Gorges region and the nearby Three Gorges Dam on the Yangtze River.
  • B. Xiangyang
    Xiangyang is a historic prefecture-level city in northern Hubei Province, China, known for its strategic location on the Han River and well-preserved ancient city walls.
  • C. Suizhou
    Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
  • D. Jingmen
    Jingmen is a prefecture-level city in central China known for its role as a regional industrial and transportation hub within Hubei Province.
  • E. Xiaogan
    Xiaogan is a prefecture-level city in central China known for its cultural heritage and proximity to the provincial capital, Wuhan, within Hubei Province.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ee2d6fe481908ff70ab7d043bb3e completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc562bc08190b5f1a6f143bd13d1 completed March 1, 2026, 11:31 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.