Triple

T20272029
Position Surface form Disambiguated ID Type / Status
Subject Tyne Tunnel E499116 entity
Predicate numberOfRoadTunnels P48117 FINISHED
Object 2 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: 2 | Statement: [Tyne Tunnel, numberOfRoadTunnels, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfRoadTunnels
Context triple: [Tyne Tunnel, numberOfRoadTunnels, 2]
  • A. numberOfMajorTunnels
    Indicates the count of primary or significant tunnels associated with an entity.
  • B. hasTunnelsOnRoad
    Indicates that a road includes or passes through one or more tunnels along its route.
  • C. numberOfTunnels chosen
    Indicates the quantity of tunnels associated with or passing through a given entity or location.
  • D. lengthOfTunnels
    Indicates the measured extent or distance of tunnels associated with an entity.
  • E. numberOfRoadways
    Indicates the count of distinct roadways associated with or present at a given entity or location.
  • F. None of above.

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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675de35188190840dc7d04c1d5fd9 completed April 20, 2026, 6:52 p.m.
PD Predicate disambiguation batch_69e55b1e5e1c8190ba8a5544b1db9e1d completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:42 p.m.