Triple

T4326659
Position Surface form Disambiguated ID Type / Status
Subject Fleet Street printing district E96648 entity
Predicate locatedIn P40 FINISHED
Object Fleet Street E96647 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: Fleet Street | Statement: [Fleet Street printing district, locatedIn, Fleet Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fleet Street
Context triple: [Fleet Street printing district, locatedIn, Fleet Street]
  • A. Fleet Street chosen
    Fleet Street is a historic thoroughfare in central London long associated with the British press and newspaper industry.
  • B. Caxton Street
    Caxton Street is a street in Westminster, central London, known for housing the historic Caxton Hall building.
  • C. South Street, London
    South Street, London is an affluent residential street in the Mayfair district historically associated with prominent figures of British high society and politics.
  • D. Chancery Lane
    Chancery Lane is a historic street in central London traditionally associated with the legal profession and home to many legal institutions and chambers.
  • E. London Bridge Street
    London Bridge Street is a central London road in the London Bridge area, known for hosting major landmarks and transport links, including The Shard and London Bridge station.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3513020f481909ff2fec3934f3002 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09861a4819086a88bb42a8ea2e4 completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.