Triple

T35811323
Position Surface form Disambiguated ID Type / Status
Subject Turkey–Soviet Union border E1035235 entity
Predicate hadBorderCrossing P4105 FINISHED
Object Sarp border crossing NE NERFINISHED

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: Sarp border crossing | Statement: [Turkey–Soviet Union border, hadBorderCrossing, Sarp border crossing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadBorderCrossing
Context triple: [Turkey–Soviet Union border, hadBorderCrossing, Sarp border crossing]
  • A. hasBorderCrossing chosen
    Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
  • B. hasBorderCrossingHistory
    Indicates that an entity has previously crossed one or more borders, such as national or regional boundaries, at official or recognized crossing points.
  • C. usesBorderCrossing
    Indicates that one entity makes use of a specific border crossing point to pass from one jurisdiction or territory to another.
  • D. 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.
  • E. hasBorderCrossingSide
    Indicates that one side of a border crossing is associated with or located on a particular boundary or segment of that crossing.
  • 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_69f76e1762408190b885a8456862e372 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d219f8819081dc4ce3c83ca0cb completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.