Triple

T3696474
Position Surface form Disambiguated ID Type / Status
Subject Umbwe Route E78470 entity
Predicate trafficRelativeToOtherRoutes P43486 FINISHED
Object less-traveled 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: less-traveled | Statement: [Umbwe Route, trafficRelativeToOtherRoutes, less-traveled]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trafficRelativeToOtherRoutes
Context triple: [Umbwe Route, trafficRelativeToOtherRoutes, less-traveled]
  • A. popularityRelativeToOtherRoutes chosen
    Indicates how popular a given route is compared to other available routes.
  • B. routeBetween
    Indicates that there exists a path or connection enabling travel or communication between two locations or points.
  • C. roadTraverses
    Indicates that a road passes through, crosses, or extends across a specified geographic area or feature.
  • D. trafficDirection
    Indicates the direction in which traffic is intended or allowed to move relative to a given reference point or segment.
  • E. transportCorridor
    Indicates a route or pathway used to move people, goods, or resources between locations.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc50f9ad88190a926042fa73d65dc completed March 8, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69adb84dc5808190850aa6975cb09e27 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:26 p.m.