Triple

T8663860
Position Surface form Disambiguated ID Type / Status
Subject Line 3 (Shanghai Metro) E205614 entity
Predicate hasStation P35 FINISHED
Object Baoshan Road station E767513 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: Baoshan Road station | Statement: [Line 3 (Shanghai Metro), hasStation, Baoshan Road station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baoshan Road station
Context triple: [Line 3 (Shanghai Metro), hasStation, Baoshan Road station]
  • A. Caoyang Road station
    Caoyang Road station is a major Shanghai Metro interchange hub in Putuo District, connecting multiple lines and serving as an important transit point in the city's northwest.
  • B. Hongqiao Road Station
    Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
  • C. Tiantong Road station
    Tiantong Road station is a Shanghai Metro station located in the Hongkou District, serving as part of the city's extensive urban rail transit network.
  • D. Yuntai Road station
    Yuntai Road station is a Shanghai Metro station serving the Pudong area as part of the city's extensive rapid transit network.
  • E. Shanghai University station chosen
    Shanghai University station is a Shanghai Metro rapid transit stop serving the area around Shanghai University in the city’s Baoshan District.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc489f7edc8190bde1b4dc09249207 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d160f6855c81909ae0f3f1c041f600 completed April 4, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:30 p.m.