Triple

T9086995
Position Surface form Disambiguated ID Type / Status
Subject Maojian District E217782 entity
Predicate subdivisionName2 P766 FINISHED
Object Shiyan E36652 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: Shiyan | Statement: [Maojian District, subdivisionName2, Shiyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shiyan
Context triple: [Maojian District, subdivisionName2, Shiyan]
  • A. Shiyan chosen
    Shiyan is an industrial city in northwestern Hubei, China, best known as a center of automobile manufacturing and as a gateway to the nearby Wudang Mountains.
  • B. Jinyang
    Jinyang is the historical name of the city now known as Taiyuan, a major urban and industrial center in northern China’s Shanxi province.
  • C. Shancheng
    Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
  • D. Kaili
    Kaili is a county-level city in southeastern Guizhou, China, known as a cultural center of the Miao and Dong ethnic minorities and a gateway to surrounding minority villages.
  • E. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965646408190b041ab0e2d5dbc94 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02ffa9fb88190ab088be46b566ae8 completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:13 p.m.