Triple

T3176513
Position Surface form Disambiguated ID Type / Status
Subject Line 13 (Beijing Subway) E66476 entity
Predicate servesArea P82 FINISHED
Object Chaoyang District E68683 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: Chaoyang District | Statement: [Line 13 (Beijing Subway), servesArea, Chaoyang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaoyang District
Context triple: [Line 13 (Beijing Subway), servesArea, Chaoyang District]
  • A. Chaoyang District chosen
    Chaoyang District is a major urban district in Beijing known for its modern business centers, diplomatic quarter, and prominent Olympic venues.
  • B. Heping District
    Heping District is a central urban district of Tianjin, China, known for its commercial centers, historic architecture, and role as a core administrative and cultural area of the city.
  • C. Fengtai District
    Fengtai District is an urban district in southwestern Beijing, China, known for its mix of residential, industrial, and historical areas, including the site of the Marco Polo Bridge.
  • D. Haidian District
    Haidian District is a major urban district in northwest Beijing known for its universities, technology hubs, and historic imperial gardens.
  • E. Daxing District
    Daxing District is a rapidly developing suburban district in southern Beijing, China, known for hosting the major Beijing Daxing International Airport and large-scale urban expansion.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69b0bec8190957913b44d876079 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503d3f19c819088061d3c68757957 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:06 p.m.