Triple

T9928237
Position Surface form Disambiguated ID Type / Status
Subject Toyohashi E192576 entity
Predicate sisterCity P1072 FINISHED
Object Nanchong, China E276212 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: Nanchong, China | Statement: [Toyohashi, sisterCity, Nanchong, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanchong, China
Context triple: [Toyohashi, sisterCity, Nanchong, China]
  • A. Chengdu, Sichuan, China
    Chengdu is the capital of Sichuan Province in southwestern China, known for its spicy cuisine, giant panda conservation centers, and long history as a major cultural and economic hub.
  • B. Nanchong chosen
    Nanchong is a major city in northeastern Sichuan Province, China, known as a regional transportation and economic hub with a long historical and cultural heritage.
  • C. Guang’an, Sichuan, China
    Guang’an, located in Sichuan Province in southwestern China, is a county-level city best known as the birthplace of former Chinese leader Deng Xiaoping.
  • D. Deyang
    Deyang is an industrial city in southwestern China known for its heavy machinery manufacturing and location near Chengdu in Sichuan Province.
  • E. Hsiangcheng, China
    Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb59d7ad08190982a1584547190bd completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e1eace88190a591cbab02153869 completed April 5, 2026, 7:24 a.m.
Created at: March 30, 2026, 8:43 p.m.