Triple

T16930692
Position Surface form Disambiguated ID Type / Status
Subject Wudaokou E410697 entity
Predicate hasNameInChinese P4878 FINISHED
Object 五道口 E496325 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: 五道口 | Statement: [Wudaokou, hasNameInChinese, 五道口]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 五道口
Context triple: [Wudaokou, hasNameInChinese, 五道口]
  • A. 东交民巷
    东交民巷是位于北京市东城区、因曾聚集多国使馆而闻名的历史街巷,也是近代北京重要的外交与建筑文化遗存之一。
  • B. Haidian Subdistrict chosen
    Haidian Subdistrict is the central urban area and seat of local government within Beijing’s Haidian District, known for its dense commercial and residential development.
  • C. Haidian District
    Haidian District is a major urban district in northwest Beijing known for its universities, technology hubs, and historic imperial gardens.
  • D. Guoding Road Campus
    Guoding Road Campus is the main and historic campus of the Shanghai University of Finance and Economics, located in Shanghai’s Yangpu District.
  • E. Zhongguancun Science Park
    Zhongguancun Science Park is a major high-tech innovation hub in Beijing often dubbed "China’s Silicon Valley," hosting numerous technology companies, startups, and research institutions.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf248c6c81908fbf4d49e5381f08 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdeb7a88190aac21a8645607dc8 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.