Triple

T3295889
Position Surface form Disambiguated ID Type / Status
Subject Daxing Airport Express E69213 entity
Predicate nativeName P15 FINISHED
Object 大兴机场线 E69213 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: 大兴机场线 | Statement: [Daxing Airport Express, nativeName, 大兴机场线]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大兴机场线
Context triple: [Daxing Airport Express, nativeName, 大兴机场线]
  • A. Daxing Airport Express chosen
    Daxing Airport Express is a dedicated rapid transit line in Beijing that connects the city center with Beijing Daxing International Airport.
  • B. Yizhuang Line
    The Yizhuang Line is a rapid transit line of the Beijing Subway system serving the Yizhuang economic and technological development area in southeastern Beijing.
  • C. Fangshan Line
    Fangshan Line is a rapid transit line in the Beijing Subway system serving the southwestern Fangshan District and connecting it with Beijing’s urban core.
  • D. Beijing–Xiong’an intercity railway
    The Beijing–Xiong’an intercity railway is a high-speed rail line in China that connects Beijing with the newly developed Xiong’an New Area, serving as a key transport link for the region’s integrated development.
  • E. Line 10 (Beijing Subway)
    Line 10 of the Beijing Subway is a major loop line encircling central Beijing, providing extensive transfer connections and helping distribute passenger flow across the network.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb077c60c81909782be5202ce5a43 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86e867c8190a1e5042a4d4d92cb completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.