Triple

T10160602
Position Surface form Disambiguated ID Type / Status
Subject Newbury bypass E233878 entity
Predicate planningControversy P42781 FINISHED
Object public inquiry and legal challenges 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: public inquiry and legal challenges | Statement: [Newbury bypass, planningControversy, public inquiry and legal challenges]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: planningControversy
Context triple: [Newbury bypass, planningControversy, public inquiry and legal challenges]
  • A. controversy
    Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
  • B. locationOfControversy
    Indicates the place or setting where a dispute, debate, or controversy occurs or is centered.
  • C. controversyType chosen
    Indicates the specific kind or category of controversy associated with an entity or situation.
  • D. controversialBecause
    Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
  • E. planning
    Indicates that an entity is engaged in organizing or devising a future action, event, or course of behavior involving another entity or entities.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5831e481909b48fdfa8f1c670b completed April 2, 2026, 4:11 a.m.
PD Predicate disambiguation batch_69cd4ba795808190acc9124c98c6e40f completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:09 p.m.