Triple

T14099455
Position Surface form Disambiguated ID Type / Status
Subject Jiulongshan E339341 entity
Predicate district P2709 FINISHED
Object Tongzhou District E354728 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: Tongzhou District | Statement: [Jiulongshan, district, Tongzhou District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tongzhou District
Context triple: [Jiulongshan, district, Tongzhou District]
  • A. Tongzhou District chosen
    Tongzhou District is a rapidly developing suburban district in eastern Beijing, China, serving as a major residential and administrative hub for the capital.
  • B. Shunyi District
    Shunyi District is a suburban district of Beijing known for hosting Beijing Capital International Airport and a mix of residential, industrial, and international community areas.
  • C. Changping District
    Changping District is a suburban district in the northern part of Beijing, China, known for its historical sites and scenic mountainous landscapes.
  • D. Jinwan District
    Jinwan District is a coastal urban district of Zhuhai in Guangdong Province, China, known for its industrial development, aviation industry, and proximity to the Pearl River Delta.
  • E. Shuangcheng District
    Shuangcheng District is an administrative district of Harbin in Heilongjiang Province, northeastern China, known for its agricultural production and integration into the greater Harbin metropolitan area.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe5eeba08190849171d079745d1a completed May 9, 2026, 11:08 p.m.
Created at: April 9, 2026, 10:22 p.m.