Triple

T3911637
Position Surface form Disambiguated ID Type / Status
Subject Hindhead E87333 entity
Predicate hasRoad P959 FINISHED
Object A3 road E18328 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: A3 road | Statement: [Hindhead, hasRoad, A3 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A3 road
Context triple: [Hindhead, hasRoad, A3 road]
  • A. A3 road chosen
    The A3 road is a major trunk route in England that connects London to Portsmouth, passing through counties such as Surrey.
  • B. A5 road
    The A5 road is a major historic route in Great Britain running from London to Holyhead, forming part of the key connection between England and Wales.
  • C. A2 road
    The A2 road is a major route in southeast England connecting London to the port of Dover and forming part of a key corridor to mainland Europe.
  • D. A4 road
    The A4 road is a major historic route in England that runs west from central London through key cities such as Reading, Bath, and Bristol toward Avonmouth.
  • E. A30 road
    The A30 road is a major trunk route in southern England that runs from London through counties including Surrey toward the southwest.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed35e2d081908b5d87c7630e7ffc completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a127b0e48190880ee84f45bed359 completed March 23, 2026, 2:10 a.m.
Created at: March 9, 2026, 3:22 p.m.