Triple

T19145527
Position Surface form Disambiguated ID Type / Status
Subject Katsina-Ala E468668 entity
Predicate belongsToEcologicalZone P103885 FINISHED
Object Guinea savanna belt (general area) 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: Guinea savanna belt (general area) | Statement: [Katsina-Ala, belongsToEcologicalZone, Guinea savanna belt (general area)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToEcologicalZone
Context triple: [Katsina-Ala, belongsToEcologicalZone, Guinea savanna belt (general area)]
  • A. isEcologicalZone
    Indicates that one entity functions as, or is classified as, an ecological zone in relation to another entity.
  • B. hasEcologicalZones
    Indicates that an entity is associated with, contains, or is characterized by one or more distinct ecological zones.
  • C. hasMajorEcoregion
    Indicates that an entity is primarily located within, or chiefly associated with, a particular major ecological region.
  • D. belongsToBiogeographicRealm
    Indicates that an entity (such as a species, habitat, or location) is associated with or falls within a particular biogeographic realm.
  • E. biogeographicZone chosen
    Indicates the biogeographic region or ecological zone in which an entity (such as a species or habitat) naturally occurs or is distributed.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e978b0b481909a531efa030c5def completed April 20, 2026, 8:53 a.m.
PD Predicate disambiguation batch_69e4b9b475d88190a8c15e8eb01dbfef completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:06 p.m.