Triple

T16039240
Position Surface form Disambiguated ID Type / Status
Subject Daxing Line (Beijing Subway) E389049 entity
Predicate depot P14646 FINISHED
Object Tiangongyuan depot E334596 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: Tiangongyuan depot | Statement: [Daxing Line (Beijing Subway), depot, Tiangongyuan depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiangongyuan depot
Context triple: [Daxing Line (Beijing Subway), depot, Tiangongyuan depot]
  • A. Tiangongyuan station chosen
    Tiangongyuan station is a southern terminus station on Beijing's Subway network, serving as a key endpoint for Line 4.
  • B. Huilongguan Depot
    Huilongguan Depot is a major maintenance and storage facility serving Beijing Subway’s Line 13 in the northern part of the city.
  • C. Sanyuanqiao depot
    Sanyuanqiao depot is a maintenance and storage facility serving Beijing’s Capital Airport Express line.
  • D. Tuqiao Depot
    Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
  • E. Daliao Depot
    Daliao Depot is a maintenance and storage facility serving trains on the Kaohsiung Mass Rapid Transit system in Kaohsiung, Taiwan.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833eb90c8190b10dca3ce0793ddf completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe474f89c819086db832b793c15ed completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:56 a.m.