Triple

T2879021
Position Surface form Disambiguated ID Type / Status
Subject GR11 long-distance footpath E56949 entity
Predicate waymarkedAs P1777 FINISHED
Object red and white stripes 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: red and white stripes | Statement: [GR11 long-distance footpath, waymarkedAs, red and white stripes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waymarkedAs
Context triple: [GR11 long-distance footpath, waymarkedAs, red and white stripes]
  • A. trailName
    Indicates the name assigned to a specific trail or path in the relationship.
  • B. roadServed
    Indicates that a road is provided with necessary services or infrastructure support by a responsible entity.
  • C. routeBetween
    Indicates that there exists a path or connection enabling travel or communication between two locations or points.
  • D. roadTraverses
    Indicates that a road passes through, crosses, or extends across a specified geographic area or feature.
  • E. 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.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe008925c81909683d0ebc6227e5e completed March 7, 2026, 8:21 a.m.
PD Predicate disambiguation batch_69abdd15cbf08190bf7fea5ea516848a completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:03 p.m.