Triple

T15388430
Position Surface form Disambiguated ID Type / Status
Subject Beijing central axis E367973 entity
Predicate hasPart P35 FINISHED
Object Qianmen area E1116019 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: Qianmen area | Statement: [Beijing central axis, hasPart, Qianmen area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qianmen area
Context triple: [Beijing central axis, hasPart, Qianmen area]
  • A. Qianmen area chosen
    The Qianmen area is a historic commercial and cultural district just south of Tiananmen Square in central Beijing, known for its traditional architecture, shopping streets, and long-standing local eateries.
  • B. Chaoyangmen area
    The Chaoyangmen area is a central district in Beijing known for its major commercial offices, residential complexes, and transport links along the city’s eastern 2nd Ring Road.
  • C. Hepingmen area
    The Hepingmen area is a historic commercial and cultural district in central Beijing known for its traditional shops, eateries, and proximity to famous old streets like Liulichang.
  • D. Gulou Dajie area
    The Gulou Dajie area is a historic neighborhood in central Beijing known for its traditional hutong alleyways, local eateries, and proximity to the city’s ancient Drum and Bell Towers.
  • E. Xizhimen area
    Xizhimen area is a major commercial and transportation hub in Beijing known for its busy rail and subway connections, shopping centers, and dense urban development.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e761b688190893a81246b735b76 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff134bf8b4819092d77c44d0207e3b completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.