Triple

T3461403
Position Surface form Disambiguated ID Type / Status
Subject Badaling E73033 entity
Predicate locatedIn P40 FINISHED
Object Yanqing District E90803 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: Yanqing District | Statement: [Badaling, locatedIn, Yanqing District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanqing District
Context triple: [Badaling, locatedIn, Yanqing District]
  • A. Yanqing District chosen
    Yanqing District is a mountainous suburban district of Beijing, China, known for hosting alpine skiing and sliding events during the 2022 Winter Olympics.
  • 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. Mentougou District
    Mentougou District is a mountainous suburban district in western Beijing, China, known for its coal mining history, scenic landscapes, and role as an ecological conservation area.
  • E. Tongzhou District
    Tongzhou District is a rapidly developing suburban district in eastern Beijing, China, serving as a major residential and administrative hub for the capital.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae745e081909007cd3a664c57f3 completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56275e1708190aa4b02acebb978c6 completed March 14, 2026, 1:28 p.m.
Created at: March 8, 2026, 3:17 p.m.