Triple

T15478029
Position Surface form Disambiguated ID Type / Status
Subject Charing Cross Road E376834 entity
Predicate roadClassification P1019 FINISHED
Object A400 E1056952 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: A400 | Statement: [Charing Cross Road, roadClassification, A400]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A400
Context triple: [Charing Cross Road, roadClassification, A400]
  • A. A400 chosen
    The A400 is a major central London road that runs through areas including Tottenham Court Road, connecting key parts of the city’s north–south route.
  • B. A420
    The A420 is a major road in England that links Bristol to Oxford, passing through towns such as Chippenham and Swindon.
  • C. A420
    The A420 is an early model in Acorn Computers' Archimedes line of ARM-based personal computers introduced in the late 1980s.
  • D. A40
    A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
  • E. A40
    The A40 is a major road in England that runs from London through Oxford and on toward Wales, serving as an important east–west transport route.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0b3e7881908f195701fe222371 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.