Triple

T11604009
Position Surface form Disambiguated ID Type / Status
Subject Shibuya-ku E275204 entity
Predicate hasSisterCity P919 FINISHED
Object Chengdu E280635 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: Chengdu | Statement: [Shibuya-ku, hasSisterCity, Chengdu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chengdu
Context triple: [Shibuya-ku, hasSisterCity, Chengdu]
  • A. Chengdu chosen
    Chengdu is the capital of Sichuan Province in southwestern China, known for its spicy cuisine, giant panda breeding centers, and status as a major economic and cultural hub.
  • B. Chongqing
    Chongqing is a vast inland metropolis in southwestern China known for its steep hilly terrain, spicy hotpot cuisine, and role as a major industrial and transportation hub along the upper Yangtze River.
  • C. Deyang
    Deyang is an industrial city in southwestern China known for its heavy machinery manufacturing and location near Chengdu in Sichuan Province.
  • D. Yibin
    Yibin is a historic prefecture-level city in southwestern China known as the "First City on the Yangtze River," where the Jinsha and Min rivers converge to form the Yangtze.
  • E. Chengdian
    Chengdian is the commonly used short name for the University of Electronic Science and Technology of China, a leading Chinese university renowned for its strengths in electronics, information technology, and engineering.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d895502e0081909ee9c3d45d26cd91 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86b56e4081908746bb3355f6ec47 completed April 26, 2026, 9:42 p.m.
Created at: April 8, 2026, 9:38 p.m.