Triple

T12896182
Position Surface form Disambiguated ID Type / Status
Subject Kabul–Mazar-i-Sharif road E308498 entity
Predicate importanceForMilitaryLogistics P19259 FINISHED
Object high 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: high | Statement: [Kabul–Mazar-i-Sharif road, importanceForMilitaryLogistics, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: importanceForMilitaryLogistics
Context triple: [Kabul–Mazar-i-Sharif road, importanceForMilitaryLogistics, high]
  • A. militaryImportance chosen
    Indicates the degree to which something is strategically or operationally significant to military objectives or capabilities.
  • B. logisticalEffect
    Indicates the impact that one event, action, or condition has on the planning, coordination, or execution of logistical operations.
  • C. logistics
    Indicates the organization, coordination, and management of how resources, goods, or information are efficiently moved and handled between entities.
  • D. militaryUse
    Indicates the use of something (such as land, facilities, equipment, or resources) for military purposes or operations.
  • E. logisticalCharacteristic
    Indicates the logistical properties or constraints associated with an entity, such as how it is stored, transported, handled, or supplied.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9717d859481908957510babac2d69 completed April 10, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69d96fa776648190b9b5c30722ea50b6 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:40 p.m.