Triple

T8910886
Position Surface form Disambiguated ID Type / Status
Subject Strand E212177 entity
Predicate runsTo P2127 FINISHED
Object Temple Bar E431046 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: Temple Bar | Statement: [Strand, runsTo, Temple Bar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temple Bar
Context triple: [Strand, runsTo, Temple Bar]
  • A. Temple Bar chosen
    Temple Bar is a historic ceremonial gateway in London that once marked the western boundary of the City of London and the start of the Strand.
  • B. Temple Bar district
    Temple Bar district is a historic and lively cultural quarter in central Dublin known for its cobbled streets, pubs, nightlife, and arts venues.
  • C. Paternoster Square
    Paternoster Square is a modern commercial and public plaza in the City of London, located near St Paul’s Cathedral and home to the London Stock Exchange.
  • D. Barbican
    Barbican is a historic area in the City of London known for its medieval fortifications and the modern Barbican Estate and arts centre complex.
  • E. Barbican
    The Barbican in Banská Bystrica is a historic fortification structure that once formed part of the town’s medieval defensive system.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6523b9348190a7cefac9e73e2004 completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba36f8cc8190ab57ddc99b7219d1 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:55 p.m.