Triple

T14692130
Position Surface form Disambiguated ID Type / Status
Subject City of London Corporation area E345059 entity
Predicate isAlsoKnownAs P39 FINISHED
Object Square Mile E231704 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: Square Mile | Statement: [City of London Corporation area, isAlsoKnownAs, Square Mile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Square Mile
Context triple: [City of London Corporation area, isAlsoKnownAs, Square Mile]
  • A. Square Mile chosen
    Square Mile is the historic and financial heart of London, encompassing the small central area governed by the City of London Corporation.
  • B. Tilemsi Valley
    Tilemsi Valley is a region in northeastern Mali known for its significant paleontological sites and ancient fossil deposits.
  • C. Metroland
    Metroland was a suburban region northwest of London developed in the early 20th century and romantically marketed as an ideal commuter-belt lifestyle destination along the Metropolitan Railway.
  • D. London Fields
    London Fields is a popular public park in the London Borough of Hackney known for its open green space, lido, and vibrant community atmosphere.
  • E. Morninghill
    Morninghill is a residential suburb located near Bedfordview in the eastern part of Johannesburg, South Africa.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08274ac8190b5ba0752d36a690b completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.