Triple

T19953685
Position Surface form Disambiguated ID Type / Status
Subject Shoddesden E479626 entity
Predicate roadAccessArea P137979 FINISHED
Object Hampshire road network LITERAL 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: Hampshire road network | Statement: [Shoddesden, roadAccessArea, Hampshire road network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roadAccessArea
Context triple: [Shoddesden, roadAccessArea, Hampshire road network]
  • A. roadAccessVia
    Indicates that one location or area is reachable from another specifically by using a particular road or road segment.
  • B. roadAccessFrom
    Indicates that one location can be reached from another via a usable road connection.
  • C. hasSeparateAccessRoadFor
    Indicates that one entity is served by its own distinct access road that is separate from the access road used by another entity.
  • D. roadPassType
    Indicates the type or category of permission or authorization required to use or pass along a particular road or route.
  • E. hasSeparateAccessRoad
    Indicates that an entity is served by its own distinct access road, separate from other routes or shared entrances.
  • F. None of above. chosen

Provenance (4 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65aee23488190bd92c1593fbc241c completed April 20, 2026, 4:57 p.m.
PD Predicate disambiguation batch_69e537f47c508190853c4e009c6b5566 completed April 19, 2026, 8:15 p.m.
PDg Predicate description generation batch_69e543c42c688190a22f4d31ec692377 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 1:54 p.m.