Triple

T8862893
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro Line 13 E210935 entity
Predicate hasStation P35 FINISHED
Object Lupu Bridge station E758545 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: Lupu Bridge station | Statement: [Shanghai Metro Line 13, hasStation, Lupu Bridge station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lupu Bridge station
Context triple: [Shanghai Metro Line 13, hasStation, Lupu Bridge station]
  • A. Lupu Bridge station chosen
    Lupu Bridge station is a Shanghai Metro station on Line 13 located near the Lupu Bridge in the city’s central area.
  • B. White Stone Bridge South station
    White Stone Bridge South station is a subway station in Beijing, China, serving passengers on the city's Line 9.
  • C. Bataizi Station
    Bataizi Station is a metro station on Beijing's Batong Line serving passengers in the eastern suburbs of the city.
  • D. Puhung Station
    Puhung Station is one of the main stations of the Pyongyang Metro in North Korea, noted for its grand, ornate Soviet-style architecture and murals.
  • E. Chonu Station
    Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610263048190931bb2c3ac573a08 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02f88db0881909975af03ed2f3d84 completed April 3, 2026, 9:22 p.m.
Created at: March 30, 2026, 6:50 p.m.