Triple

T37615761
Position Surface form Disambiguated ID Type / Status
Subject Alibori Department E935915 entity
Predicate largestAdministrativeDivisionOf P67877 FINISHED
Object Benin NE NERFINISHED

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: Benin | Statement: [Alibori Department, largestAdministrativeDivisionOf, Benin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: largestAdministrativeDivisionOf
Context triple: [Alibori Department, largestAdministrativeDivisionOf, Benin]
  • A. isLargestTerritoryOf
    Indicates that one territory is the largest, by area or extent, among all territories belonging to a specified entity.
  • B. largestMunicipalityByArea
    Indicates that the subject is the municipality with the greatest land area within the specified region or set of municipalities.
  • C. highestLevelAdministrativeDivision
    Indicates that one entity is the topmost (largest or most authoritative) administrative division within the political or territorial hierarchy of the other entity.
  • D. topLevelAdministrativeTerritorialEntity
    Indicates that one entity is the primary or highest-level administrative territorial division in which the other entity is located or governed.
  • E. largestRegionByAreaIn chosen
    Indicates that one region is the largest by geographic area among all regions within a specified containing area.
  • 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_69f76ed16b748190ad6add183b1be688 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbb9e8108c8190ae1c7940b1677e95 completed May 6, 2026, 10 p.m.
PD Predicate disambiguation batch_69fbb141605c8190b9c27d70352522db completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:18 p.m.