Triple

T14307187
Position Surface form Disambiguated ID Type / Status
Subject Tongzhou District E354728 entity
Predicate hasChineseName P4878 FINISHED
Object 通州区 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: 通州区 | Statement: [Tongzhou District, hasChineseName, 通州区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 通州区
Context triple: [Tongzhou District, hasChineseName, 通州区]
  • 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. Daxing District
    Daxing District is a rapidly developing suburban district in southern Beijing, China, known for hosting the major Beijing Daxing International Airport and large-scale urban expansion.
  • 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. Phú Xuyên District
    Phú Xuyên District is a rural administrative district located on the southern outskirts of Hanoi, Vietnam, known for traditional craft villages and agriculture.
  • E. 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.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b156b0819083f2bd319deed1b6 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2c32648190bc8bb26d57df57f5 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:12 a.m.