Triple

T14136901
Position Surface form Disambiguated ID Type / Status
Subject Xizhimen Gate site E350320 entity
Predicate locatedIn P40 FINISHED
Object Xicheng District E66174 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: Xicheng District | Statement: [Xizhimen Gate site, locatedIn, Xicheng District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xicheng District
Context triple: [Xizhimen Gate site, locatedIn, Xicheng District]
  • A. Xicheng District chosen
    Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
  • B. Chengdong District
    Chengdong District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
  • C. Shuangxi District
    Shuangxi District is a rural, mountainous district in eastern New Taipei City, Taiwan, known for its rivers, old streets, and natural scenery.
  • D. Chengzhong District
    Chengzhong District is a central urban district of Xining, the capital city of Qinghai Province in northwest China.
  • E. Xiuying District
    Xiuying District is an urban administrative district of Haikou City on Hainan Island in southern China, known for its coastal location and role in the city's development.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610fb86c81909eb26bf9c13696ca completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d379bc881908b7954c633787165 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 12:28 a.m.