Triple

T15593192
Position Surface form Disambiguated ID Type / Status
Subject Wilmslow Road E374799 entity
Predicate hasSection P35 FINISHED
Object Curry Mile E287003 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: Curry Mile | Statement: [Wilmslow Road, hasSection, Curry Mile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curry Mile
Context triple: [Wilmslow Road, hasSection, Curry Mile]
  • A. Curry Mile chosen
    Curry Mile is a famous stretch of road in Manchester, England, renowned for its dense concentration of South Asian and Middle Eastern restaurants, takeaways, and shisha bars.
  • B. Mysore Road
    Mysore Road is a major arterial highway in Bangalore that connects the city to the historic town of Mysuru and serves as a key route for regional traffic and commerce.
  • C. Akbar Road
    Akbar Road is a prominent, historically significant thoroughfare in New Delhi that houses several important political offices and residences.
  • D. Chowringhee Road
    Chowringhee Road is one of Kolkata’s principal thoroughfares, known for its historic buildings, commercial hubs, and proximity to major city landmarks.
  • E. Jamshed Road
    Jamshed Road is a major thoroughfare in Karachi, Pakistan, running through the Jamshed Town area and linking key commercial and residential neighborhoods.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f33310881908dd509c2ab2822ac completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:12 a.m.