Triple

T9589540
Position Surface form Disambiguated ID Type / Status
Subject National Highway Performance Program E231380 entity
Predicate performanceMeasureArea P89965 FINISHED
Object pavement condition on the Interstate System 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: pavement condition on the Interstate System | Statement: [National Highway Performance Program, performanceMeasureArea, pavement condition on the Interstate System]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: performanceMeasureArea
Context triple: [National Highway Performance Program, performanceMeasureArea, pavement condition on the Interstate System]
  • A. effectiveArea
    Indicates the portion of a surface or region that actually contributes to a specified effect, such as performance, interaction, or impact, within a given context.
  • B. areaApprox
    Indicates that one entity’s area is approximately equal to the area of another entity.
  • C. coreAreaOf
    Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
  • D. areaBControl
    Indicates that one entity has control or authority over a specific region or area labeled as B.
  • E. areaCControl
    Indicates that an entity exercises control or authority over a specific geographic area or region.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99f1696c8190addf1a43544f2c18 completed April 1, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69ccd59fd7408190b36831902e3f37f7 completed April 1, 2026, 8:21 a.m.
PDg Predicate description generation batch_69ccd93e90048190a2b0d7c5c195ba98 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:06 p.m.