Triple

T688732
Position Surface form Disambiguated ID Type / Status
Subject Saint-Julien-en-Genevois–Perly crossing E13343 entity
Predicate locatedOnBorderSegment P15085 FINISHED
Object France–canton of Geneva land 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: France–canton of Geneva land border | Statement: [Saint-Julien-en-Genevois–Perly crossing, locatedOnBorderSegment, France–canton of Geneva land border]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedOnBorderSegment
Context triple: [Saint-Julien-en-Genevois–Perly crossing, locatedOnBorderSegment, France–canton of Geneva land border]
  • A. locatedAlong
    Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
  • B. crossesBorderOf
    Indicates that one entity passes from one side of the boundary of another entity (typically a region or area) to the other side, traversing its border.
  • C. locatedBetween
    Indicates that one entity is positioned spatially between two other reference entities.
  • D. locatedAtIntersectionOf chosen
    Indicates that something is situated at the point where two or more paths, roads, or boundaries cross or meet.
  • E. isAdjacentTo
    Indicates that one entity is directly next to or bordering another without anything of the same type in between.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0f55f7481909e052a25bd12d455 completed March 1, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69a49d2048d48190ab99ab59accb6909 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.