Triple

T320476
Position Surface form Disambiguated ID Type / Status
Subject Interstate 95 near Newport, Maine E6402 entity
Predicate laneConfiguration P1777 FINISHED
Object divided highway with at least two lanes in each direction 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: divided highway with at least two lanes in each direction | Statement: [Interstate 95 near Newport, Maine, laneConfiguration, divided highway with at least two lanes in each direction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laneConfiguration
Context triple: [Interstate 95 near Newport, Maine, laneConfiguration, divided highway with at least two lanes in each direction]
  • A. hasLanes
    Indicates that an entity, such as a road or pathway, is divided into one or more distinct lanes for traffic or movement.
  • B. roadFeature chosen
    Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
  • C. roadType
    Indicates the classification or category of a road based on its functional or physical characteristics.
  • D. hasTrafficDirection
    Indicates that there is a specified flow or orientation of traffic associated with an entity (such as a road, lane, or route).
  • E. roadSystem
    Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea8047c08190872c875e00f6e7dd completed Feb. 28, 2026, 1:15 p.m.
PD Predicate disambiguation batch_69a2e946607081909c8b97473aaf8d1b completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.