Triple

T10669597
Position Surface form Disambiguated ID Type / Status
Subject National Art Museum of China E251451 entity
Predicate publicTransitAccess P1288 FINISHED
Object Dongsi Station E445222 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: Dongsi Station | Statement: [National Art Museum of China, publicTransitAccess, Dongsi Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongsi Station
Context triple: [National Art Museum of China, publicTransitAccess, Dongsi Station]
  • A. Dongsi station chosen
    Dongsi station is a Beijing Subway interchange station in central Beijing that serves both Line 5 and Line 6.
  • B. Dongsi Shitiao station
    Dongsi Shitiao station is a Beijing Subway station located in central Beijing, serving as a key stop on the city's metro network.
  • C. Dongzhimen station
    Dongzhimen station is a major Beijing Subway interchange hub connecting multiple lines and serving as a key gateway to the city’s northeastern districts and the airport rail link.
  • D. Jianguomen station
    Jianguomen station is a major interchange stop on the Beijing Subway, serving as a key transfer point between central city lines near the historic Jianguomen area.
  • E. Hepingmen station
    Hepingmen station is an underground metro station on the Beijing Subway serving the central Xicheng District near historic commercial and cultural areas.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f861513881909b44c711371086b7 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbacf1a43c8190869f4a64f9d6a26c completed April 12, 2026, 2:32 p.m.
Created at: April 8, 2026, 9:09 p.m.