Triple

T10829718
Position Surface form Disambiguated ID Type / Status
Subject W1 postcode district E255584 entity
Predicate containsLandmark P1098 FINISHED
Object Soho Square E129762 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: Soho Square | Statement: [W1 postcode district, containsLandmark, Soho Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soho Square
Context triple: [W1 postcode district, containsLandmark, Soho Square]
  • A. Soho Square chosen
    Soho Square is a historic garden square in London’s Soho district, known as a small green oasis surrounded by offices, restaurants, and media businesses.
  • B. Manchester Square
    Manchester Square is a historic garden square in the Marylebone district of central London, known for its elegant Georgian architecture and cultural landmarks.
  • C. Manchester Square
    Manchester Square is a residential neighborhood in South Los Angeles known for its proximity to major thoroughfares and the Los Angeles International Airport.
  • D. Hanover Square
    Hanover Square is a historic garden square in London’s Mayfair district, known for its Georgian architecture and proximity to major shopping and commercial areas.
  • E. Hanover Square
    Hanover Square is a historic public park and gathering space located in the coastal city of Brunswick, Georgia.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d74420fa188190b5b3c59e1a9f551d completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344249f648190b541c7fad7a834f5 completed April 18, 2026, 8:43 a.m.
Created at: April 8, 2026, 9:19 p.m.