Triple

T14132313
Position Surface form Disambiguated ID Type / Status
Subject Xidan shopping district E350198 entity
Predicate transportConnection P1298 FINISHED
Object Xidan Station NE NERFINISHED

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: Xidan Station | Statement: [Xidan shopping district, transportConnection, Xidan Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xidan Station
Context triple: [Xidan shopping district, transportConnection, Xidan Station]
  • A. Xidan station chosen
    Xidan station is a major interchange stop on the Beijing Subway serving the busy commercial and shopping district of Xidan in central Beijing.
  • B. Shichahai station
    Shichahai station is an underground metro stop on the Beijing Subway serving the historic Shichahai scenic area near central Beijing.
  • C. Ginza Station
    Ginza Station is a major Tokyo Metro subway hub located in Tokyo’s upscale Ginza district, serving as a key access point to the area’s shopping, dining, and entertainment.
  • D. Tenjin Station
    Tenjin Station is a major underground railway and commercial hub in central Fukuoka, Japan, serving as one of the city's busiest transit and shopping areas.
  • E. Juso Station
    Juso Station is a major railway hub in Osaka, Japan, serving as a key junction for multiple Hankyu Railway lines and providing convenient access to central Osaka and surrounding areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69de610cece88190b4a86500677e5938 completed April 14, 2026, 3:45 p.m.
Created at: April 9, 2026, 11:24 p.m.