Triple

T11349843
Position Surface form Disambiguated ID Type / Status
Subject Franco-Spanish border wars E268811 entity
Predicate borderDemarcation P38214 FINISHED
Object use of natural features such as mountain ridges 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: use of natural features such as mountain ridges | Statement: [Franco-Spanish border wars, borderDemarcation, use of natural features such as mountain ridges]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderDemarcation
Context triple: [Franco-Spanish border wars, borderDemarcation, use of natural features such as mountain ridges]
  • A. borderDemarcationTreaties
    Indicates the existence of formal treaties that define, establish, or adjust the official boundary lines between two or more territories or jurisdictions.
  • B. borderCharacteristic chosen
    Indicates that one entity specifies a property, feature, or quality of the border or boundary of another entity.
  • C. boundaryBetween
    Indicates that something serves as a dividing line or limit separating two distinct regions, areas, or entities.
  • D. borderRegion
    Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
  • E. borderPoint
    Indicates a point that lies on the boundary between two regions or entities.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
PD Predicate disambiguation batch_69d7e6f8aeb4819080476f16a69b2ee3 completed April 9, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:33 p.m.