Triple

T250148
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 98 in Santa Rosa County, Florida E5124 entity
Predicate speedLimitRange P2129 FINISHED
Object approximately 35–65 mph (varies by segment) 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: approximately 35–65 mph (varies by segment) | Statement: [U.S. Route 98 in Santa Rosa County, Florida, speedLimitRange, approximately 35–65 mph (varies by segment)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: speedLimitRange
Context triple: [U.S. Route 98 in Santa Rosa County, Florida, speedLimitRange, approximately 35–65 mph (varies by segment)]
  • A. hasSpeedLimit chosen
    Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
  • B. maxSpeed
    Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
  • C. hasAverageSurfaceSpeed
    Indicates the typical or mean speed at which something moves across a surface over a given period or distance.
  • D. roadTrafficRuleJurisdiction
    Indicates the jurisdiction or authority under whose road traffic rules a given situation, entity, or action is governed.
  • E. dataRate
    Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d3728f0819086214ccc2db2305a completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b665f8c8190aac6fcbba2a0eebb completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.