Triple

T11820149
Position Surface form Disambiguated ID Type / Status
Subject Smithfield E281103 entity
Predicate street P959 FINISHED
Object Long Lane E776891 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: Long Lane | Statement: [Smithfield, street, Long Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Lane
Context triple: [Smithfield, street, Long Lane]
  • A. Long Lane chosen
    Long Lane is a street in the London Borough of Southwark, forming part of the historic road network south of the River Thames.
  • B. Woodhouse Lane
    Woodhouse Lane is a major road in Leeds, West Yorkshire, serving as a key route between the city centre and the university and Hyde Park areas.
  • C. Marsh Lane
    Marsh Lane was the original name of what is now Northumberland Park railway station in north London.
  • D. Pyms Lane
    Pyms Lane is a road in Crewe, England, best known as the location of Bentley’s historic and main automobile manufacturing plant.
  • E. Western Lane
    Western Lane is a critically acclaimed debut novella by Chetna Maroo that explores grief, family dynamics, and cultural identity through the lens of a young British Gujarati girl obsessed with squash.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e87e488190905bc3bb6d721e56 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef5a0824819097e41163e3092b68 completed May 9, 2026, 8:24 a.m.
Created at: April 8, 2026, 9:42 p.m.