Triple

T14274718
Position Surface form Disambiguated ID Type / Status
Subject Albert Square E353886 entity
Predicate hasStreet P959 FINISHED
Object George Street E217994 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: George Street | Statement: [Albert Square, hasStreet, George Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Street
Context triple: [Albert Square, hasStreet, George Street]
  • A. George Street
    George Street is a central thoroughfare in Leeds, England, known for running alongside and providing access to the historic Kirkgate Market.
  • B. George Street
    George Street is a notable thoroughfare running through Ottawa’s historic ByWard Market district, lined with shops, restaurants, and nightlife venues.
  • C. George Street chosen
    George Street is a central thoroughfare in Manchester, England, known for running through the city's Chinatown district and hosting numerous East Asian restaurants and businesses.
  • D. George Street
    George Street is a central thoroughfare in Oxford, England, known for its theatres, shops, and restaurants.
  • E. George Street
    George Street is a major thoroughfare in central Edinburgh, Scotland, known for its Georgian architecture, shops, offices, and notable civic buildings.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6582f5308190969f4cfd724d9139 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550234408190ba10bd360bfa3f23 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:10 a.m.