Triple

T9547232
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro Line 3 E230322 entity
Predicate connectsKeyNode P845 FINISHED
Object Baoshan Road station E816703 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: [Shanghai Metro Line 3, connectsKeyNode, Baoshan Road station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baoshan Road station
Context triple: [Shanghai Metro Line 3, connectsKeyNode, 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. Baoyang Road station chosen
    Baoyang Road station is a metro station in Shanghai, China, serving passengers in the Baoshan District as part of the city's urban rail transit network.
  • C. Hongqiao Road Station
    Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
  • D. South Ruijin Road station
    South Ruijin Road station is a Shanghai Metro station serving passengers in central Shanghai on the city’s rapid transit network.
  • E. Hongbaoshi Road station
    Hongbaoshi Road station is a metro station on the Shanghai 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9904732c8190ab60ecc47c995cbe completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a77b6fac81909a9b0998f5dd1e58 completed April 8, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:02 p.m.