Triple

T8103944
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro Line 2 E189179 entity
Predicate connectsTo P845 FINISHED
Object Longyang Road Station E224893 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: Longyang Road Station | Statement: [Shanghai Metro Line 2, connectsTo, Longyang Road Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longyang Road Station
Context triple: [Shanghai Metro Line 2, connectsTo, Longyang Road Station]
  • A. Longyang Road station chosen
    Longyang Road station is a major Shanghai Metro interchange and transport hub known for connecting multiple metro lines with the Shanghai Maglev train to Pudong International Airport.
  • B. Longxi Road Station
    Longxi Road Station is a Shanghai Metro station located in the city's Changning District, serving local commuters and providing access to nearby residential and commercial areas.
  • C. Yili Road Station
    Yili Road Station is a Shanghai Metro station located in the city's Changning District, serving as part of the urban rapid transit network.
  • D. Loushanguan Road Station
    Loushanguan Road Station is a Shanghai Metro station serving the Changning District area of Shanghai, China.
  • E. Keyi Road station
    Keyi Road station is a subway stop on Beijing's extensive metro network serving passengers in the city's urban area.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42bf1cb0819099dda4f050f8e95e completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc66e6f04819082e58e20557add72 completed April 2, 2026, 1:29 a.m.
Created at: March 30, 2026, 5:31 p.m.