Triple

T38237510
Position Surface form Disambiguated ID Type / Status
Subject Borno North Senatorial District E1013661 entity
Predicate locatedInRegionAffectedBy P204559 FINISHED
Object Boko Haram insurgency E59900 NE 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: Boko Haram insurgency | Statement: [Borno North Senatorial District, locatedInRegionAffectedBy, Boko Haram insurgency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInRegionAffectedBy
Context triple: [Borno North Senatorial District, locatedInRegionAffectedBy, Boko Haram insurgency]
  • A. locatedInStateOrRegion
    Indicates that one entity is geographically situated within the boundaries of a specified state or region.
  • B. locatedInMetaregion
    Indicates that one entity is geographically or administratively situated within a larger metaregion.
  • C. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • D. isRegionOf
    Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
  • E. usedInRegion
    Indicates that something is utilized or applied within a specific geographic or administrative region.
  • F. None of above. chosen

Provenance (5 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_69f76dd72a248190a5fe18db2bd1eb15 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037cae084081909004d77514c5f286 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4193c6f24881909477d14ae52e5732 completed June 28, 2026, 9:36 p.m.
PD Predicate disambiguation batch_6a037a1c850c819088795a7ae59bdeb8 completed May 12, 2026, 7:06 p.m.
PDg Predicate description generation batch_6a037c84ecbc81908232e5215355f43b completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:30 p.m.