Triple

T13560499
Position Surface form Disambiguated ID Type / Status
Subject Fregon (Kaltjiti) E323893 entity
Predicate roadDistanceCharacteristic P17802 FINISHED
Object far from major urban centres 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: far from major urban centres | Statement: [Fregon (Kaltjiti), roadDistanceCharacteristic, far from major urban centres]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roadDistanceCharacteristic
Context triple: [Fregon (Kaltjiti), roadDistanceCharacteristic, far from major urban centres]
  • A. routeNetworkCharacteristic
    Indicates a relationship where a specific characteristic or property is attributed to a route within a network.
  • B. distanceCharacteristic chosen
    Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
  • C. roadLength
    Indicates the measured distance or extent of a road, typically expressed in units of length.
  • D. trailDistanceApprox
    Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
  • E. trailDistanceContext
    Indicates the contextual distance or separation between entities along a trail, path, or route.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae13bec4819084c1770638c00ed9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.