Triple

T26214818
Position Surface form Disambiguated ID Type / Status
Subject Saint-Jean-de-Luz–Ciboure railway station E655590 entity
Predicate distanceToBorderApprox P31353 FINISHED
Object about 15 km from Spanish border 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: about 15 km from Spanish border | Statement: [Saint-Jean-de-Luz–Ciboure railway station, distanceToBorderApprox, about 15 km from Spanish border]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distanceToBorderApprox
Context triple: [Saint-Jean-de-Luz–Ciboure railway station, distanceToBorderApprox, about 15 km from Spanish border]
  • A. distanceToBorder chosen
    Indicates the measured or estimated spatial separation between a given entity or location and the nearest relevant border or boundary.
  • B. nearBorderDirection
    Indicates that one entity is located close to a border or boundary in a specified directional orientation relative to that border.
  • C. distanceFromBol
    Indicates the measured distance between an entity and a specified beginning-of-line (BOL) reference point.
  • D. nearBorderBetween
    Indicates that something is located close to the dividing line or boundary shared between two adjacent areas or regions.
  • E. hasNearbyBoundary
    Indicates that one entity’s boundary lies close to, but does not necessarily touch or coincide with, the boundary of another entity.
  • 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_69ee5b49adb4819086545280d4ef6337 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69fdb31800508190beec15adb9bbd292 completed May 8, 2026, 9:55 a.m.
PD Predicate disambiguation batch_69fdb19c381c8190bafb2f565da097f1 completed May 8, 2026, 9:49 a.m.
Created at: April 26, 2026, 8:53 p.m.