Triple

T16180039
Position Surface form Disambiguated ID Type / Status
Subject ABS E392659 entity
Predicate mayNotReduce P122017 FINISHED
Object stopping distance on loose gravel 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: stopping distance on loose gravel | Statement: [ABS, mayNotReduce, stopping distance on loose gravel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayNotReduce
Context triple: [ABS, mayNotReduce, stopping distance on loose gravel]
  • A. mayNot
    Indicates that an entity is not permitted or is prohibited from performing a particular action or entering into a specified relationship.
  • B. mayNotFit
    Indicates that one entity is unlikely or not expected to be suitable in size, capacity, or compatibility to be placed into, combined with, or used within another entity or context.
  • C. mayReject
    Indicates that one entity has the authority or option to refuse, decline, or not accept another entity or proposal.
  • D. mayHold
    Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
  • E. mayResultIn
    Indicates that one entity has the potential to cause, lead to, or bring about another entity or outcome, without guaranteeing that it will occur.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
PD Predicate disambiguation batch_69e219d642708190ba31a90dce76a210 completed April 17, 2026, 11:30 a.m.
PDg Predicate description generation batch_69e21e55a2388190b29a045a8c608ba4 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:02 a.m.