Triple

T7782420
Position Surface form Disambiguated ID Type / Status
Subject Chongqing North Railway Station E221552 entity
Predicate hasNativeName P1435 FINISHED
Object 重庆北站 E221552 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: 重庆北站 | Statement: [Chongqing North Railway Station, hasNativeName, 重庆北站]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 重庆北站
Context triple: [Chongqing North Railway Station, hasNativeName, 重庆北站]
  • A. Chongqing North Railway Station chosen
    Chongqing North Railway Station is a major passenger rail hub in Chongqing, China, serving high-speed and conventional trains and connecting the city with destinations across the country.
  • B. Chongqing Xi Railway Station
    Chongqing Xi Railway Station is a major high-speed rail hub serving the Chongqing municipality in southwestern China.
  • C. Ciqikou station
    Ciqikou station is a subway station in Beijing that serves passengers on the city's Line 5 metro route.
  • D. Chengdu North railway station
    Chengdu North railway station is a major rail hub in Chengdu, China, serving as one of the city’s primary passenger and freight terminals.
  • E. Xi'an North railway station
    Xi'an North railway station is a major high-speed rail hub in Xi'an, China, serving as a key gateway for regional and national rail connections.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1dcc6c8190b3c6ee4ff7808e02 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5d30c748190bbb71534cfdf4f75 completed March 30, 2026, 10:14 p.m.
Created at: March 30, 2026, 4:21 p.m.