Triple

T33581550
Position Surface form Disambiguated ID Type / Status
Subject Business routes of U.S. Route 19 E860161 entity
Predicate typicalSpeedLimitComparedToParent P106467 FINISHED
Object lower 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: lower | Statement: [Business routes of U.S. Route 19, typicalSpeedLimitComparedToParent, lower]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalSpeedLimitComparedToParent
Context triple: [Business routes of U.S. Route 19, typicalSpeedLimitComparedToParent, lower]
  • A. typicalSpeedLimitComparedToMainline chosen
    Indicates how the typical speed limit on one road segment compares to that of the mainline or primary roadway.
  • B. previousSpeedLimit
    Indicates that a specified speed limit was in effect immediately before the current or another referenced speed limit.
  • C. hasSpeedLimit
    Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
  • D. regulatesSpeedLimitBy
    Indicates that one entity determines, controls, or sets the speed limit applicable to another entity or context.
  • E. hasSpeedLimitRange
    Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
  • 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_69f3497d37848190afcbb5ef3f5c7376 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379f505c88190ac0879ab422c3054 completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:40 a.m.