Triple

T14634153
Position Surface form Disambiguated ID Type / Status
Subject Xizhimen area E343556 entity
Predicate hasLandmark P105 FINISHED
Object Xizhimen Bridge E870824 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: Xizhimen Bridge | Statement: [Xizhimen area, hasLandmark, Xizhimen Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xizhimen Bridge
Context triple: [Xizhimen area, hasLandmark, Xizhimen Bridge]
  • A. Yongdingmen Bridge
    Yongdingmen Bridge is a road bridge in Beijing, China, named after and located near the historic Yongdingmen city gate area.
  • B. Andingmen Bridge chosen
    Andingmen Bridge is a major traffic overpass and landmark in Beijing, China, located near the historic Andingmen area of the city.
  • C. Dongshuimen Bridge
    Dongshuimen Bridge is a prominent cable-stayed road-rail bridge spanning the Yangtze River in Chongqing, China, known for its striking modern design and role in the city’s transit network.
  • D. Jishuitan Bridge
    Jishuitan Bridge is a notable bridge in Beijing, China, located near Jishuitan station and spanning part of the city’s historic waterway system.
  • E. Zhongxiao Bridge
    Zhongxiao Bridge is a major road bridge in Taipei, Taiwan, that spans the Tamsui River and connects key districts of the city.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda933937881909f3cf59fba878dfd completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.