Triple

T29881369
Position Surface form Disambiguated ID Type / Status
Subject Hararghe Oromo E758885 entity
Predicate associatedProvinceHistorical P80777 FINISHED
Object Hararghe Province E159187 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: Hararghe Province | Statement: [Hararghe Oromo, associatedProvinceHistorical, Hararghe Province]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedProvinceHistorical
Context triple: [Hararghe Oromo, associatedProvinceHistorical, Hararghe Province]
  • A. historicalProvinceGroup
    Indicates that two or more provinces are grouped together based on sharing a common historical administrative or territorial affiliation.
  • B. locatedInProvinceHistorical chosen
    Indicates that an entity was situated within a specific province during a historical period or according to historical administrative boundaries.
  • C. hasProvinceHistoricallyConfusedWith
    Indicates that one province has historically been mistaken for or conflated with another province in records, maps, or common understanding.
  • D. formerProvince
    Indicates that an entity was previously a province of another entity but no longer holds that administrative status.
  • E. provinceAtTime
    Indicates that an entity is a province of (or belongs to the jurisdiction of) another entity during a specified time or time interval.
  • F. None of above.

Provenance (4 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_69f2245de2f48190a481404896b56254 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1d9f6948190aabc4473db299911 completed June 8, 2026, 4:46 p.m.
PD Predicate disambiguation batch_6a0379e0f3d88190a4ee7b0673f1ef90 completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 5:58 p.m.