Triple

T16885511
Position Surface form Disambiguated ID Type / Status
Subject No. 5 Charlotte Square E421528 entity
Predicate square P49747 FINISHED
Object Charlotte Square E560654 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: Charlotte Square | Statement: [No. 5 Charlotte Square, square, Charlotte Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Square
Context triple: [No. 5 Charlotte Square, square, Charlotte Square]
  • A. Charlotte Square chosen
    Charlotte Square is a grand Georgian garden square in Edinburgh’s New Town, renowned for its elegant architecture and status as one of the city’s most prestigious addresses.
  • 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 public park and gathering space located in the coastal city of Brunswick, Georgia.
  • E. 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.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc00cf8819088a08ddb00cd3c96 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a61c608190909a462e9e77220b completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.