Triple

T24544550
Position Surface form Disambiguated ID Type / Status
Subject Safa–Marwa corridor E607184 entity
Predicate directionPattern P74179 FINISHED
Object back-and-forth between Safa and Marwa 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: back-and-forth between Safa and Marwa | Statement: [Safa–Marwa corridor, directionPattern, back-and-forth between Safa and Marwa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: directionPattern
Context triple: [Safa–Marwa corridor, directionPattern, back-and-forth between Safa and Marwa]
  • A. directionType
    Indicates the specific kind or category of direction associated with a movement, orientation, or relation between entities.
  • B. hasDirectionPatterns chosen
    Indicates that one entity exhibits or is associated with specific directional patterns in its behavior, structure, or configuration relative to another entity or context.
  • C. containsDirectionOf
    Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
  • D. directionBy
    Indicates that one entity provides directional guidance, orientation, or navigational reference for another entity.
  • E. isDirection
    Indicates that one entity specifies or represents the orientation or course along which another entity moves, points, or is aligned.
  • 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_69e2c4c9bf94819082d05da6f5c29907 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6b0ca8081908d931aec560eae56 completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:26 a.m.