Triple

T27146385
Position Surface form Disambiguated ID Type / Status
Subject Pact on Security, Stability and Development in the Great Lakes Region E681958 entity
Predicate partyRegion P81477 FINISHED
Object African states 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: African states | Statement: [Pact on Security, Stability and Development in the Great Lakes Region, partyRegion, African states]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partyRegion
Context triple: [Pact on Security, Stability and Development in the Great Lakes Region, partyRegion, African states]
  • A. partyBaseRegion
    Indicates the geographic region that serves as the primary base or stronghold for a political party.
  • B. politicalRegionRepresented
    Indicates that one entity serves as the official political representative or governing body for a specified geographic or administrative region.
  • C. policyRegion chosen
    Indicates the geographic or administrative region to which a particular policy applies or is associated.
  • D. hasRegionalParty
    Indicates that an entity is associated with or represented by a political party that operates at a regional or subnational level.
  • E. politicalRegionType
    Indicates the classification of a political region according to its governmental or administrative type (e.g., state, province, municipality).
  • 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_69eefacca3888190b67238d380e8f28b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f67c9fe7b48190b79b4041357edb49 completed May 2, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69f678cc272081909e5c70f1bc7407f0 completed May 2, 2026, 10:21 p.m.
Created at: April 27, 2026, 9:11 a.m.