Triple

T3637873
Position Surface form Disambiguated ID Type / Status
Subject Ximending E77114 entity
Predicate majorStreet P461 FINISHED
Object Kunming Street E377170 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: Kunming Street | Statement: [Ximending, majorStreet, Kunming Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunming Street
Context triple: [Ximending, majorStreet, Kunming Street]
  • A. Anfu Road
    Anfu Road is a leafy, boutique-lined street in Shanghai known for its trendy cafés, independent shops, and preserved European-style architecture.
  • B. Suzhou Street
    Suzhou Street is a reconstructed Qing-dynasty style commercial water town within Beijing’s Summer Palace, featuring traditional canalside shops and architecture designed to evoke the historic charm of Suzhou.
  • C. Nanking Road
    Nanking Road is a historic and once-prominent commercial street in Shanghai, China, renowned for its bustling shops and role as a major urban thoroughfare.
  • D. Yongfeng Street
    Yongfeng Street is an administrative subdistrict that serves as the political and administrative center of Shanghai’s Songjiang District.
  • E. Emei Street chosen
    Emei Street is a well-known thoroughfare in Taipei’s Ximending district, noted for its dense concentration of shops, eateries, and youth-oriented nightlife.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc328e5e481909d26318c743bc84a completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cddcfeec8190920648ec66b2a53c completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:24 p.m.