Triple

T14887101
Position Surface form Disambiguated ID Type / Status
Subject Chaoyangmen station E359654 entity
Predicate servesDistrict P82 FINISHED
Object Chaoyang District NE NERFINISHED

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: [Chaoyangmen station, servesDistrict, Chaoyang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaoyang District
Context triple: [Chaoyangmen station, servesDistrict, 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. Chaoyang District
    Chaoyang District is an urban administrative district in Guangdong Province, China, known for its role within the Chaoshan cultural and economic region.
  • C. Chaoyang
    Chaoyang is a prefecture-level city in western Liaoning Province, China, known for its historical sites and role as a regional transportation and agricultural center.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f5b1c88190815f3585770cb135 completed April 15, 2026, 12:04 a.m.
Created at: April 10, 2026, 2:07 a.m.