Triple

T14916808
Position Surface form Disambiguated ID Type / Status
Subject Nanking Road E371402 entity
Predicate formerName P65 FINISHED
Object Nanking Road E371402 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: Nanking Road | Statement: [Nanking Road, formerName, Nanking Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanking Road
Context triple: [Nanking Road, formerName, Nanking Road]
  • A. Nanking Road chosen
    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.
  • B. Anfu Road
    Anfu Road is a leafy, boutique-lined street in Shanghai known for its trendy cafés, independent shops, and preserved European-style architecture.
  • C. Hong Chong Road
    Hong Chong Road is a major roadway in Hong Kong that serves as a key connector between Hung Hom and other parts of the city’s road network.
  • D. Longyang Road
    Longyang Road is a major thoroughfare in Shanghai, China, known for serving as a key transportation corridor in the Pudong area.
  • E. Ko Shing Street
    Ko Shing Street is a traditional wholesale and retail street in Sheung Wan, Hong Kong, known for its many shops selling Chinese herbal medicine and dried seafood.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62038508190946499cd3552990e completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72bf2120819099df39bdc1da691b completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:32 a.m.