Triple

T13823975
Position Surface form Disambiguated ID Type / Status
Subject ZBAA E332203 entity
Predicate locatedInDistrict P40 FINISHED
Object Shunyi District E1107831 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: Shunyi District | Statement: [ZBAA, locatedInDistrict, Shunyi District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shunyi District
Context triple: [ZBAA, locatedInDistrict, Shunyi District]
  • A. Shunyi District chosen
    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.
  • B. Changping District
    Changping District is a suburban district in the northern part of Beijing, China, known for its historical sites and scenic mountainous landscapes.
  • C. 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.
  • D. Fangshan District
    Fangshan District is a suburban district in the southwest of Beijing, China, known for its mix of residential areas, industrial zones, and historical and natural attractions.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0285fb7c8190be4b90bdc0d6fa53 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b38823881909c9df93371782b47 completed May 8, 2026, 11:01 p.m.
Created at: April 9, 2026, 10:13 p.m.