Triple

T35688035
Position Surface form Disambiguated ID Type / Status
Subject Mpumalanga local government sphere E1031204 entity
Predicate includesDistrictMunicipality P14658 FINISHED
Object Ehlanzeni District Municipality E569708 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: Ehlanzeni District Municipality | Statement: [Mpumalanga local government sphere, includesDistrictMunicipality, Ehlanzeni District Municipality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesDistrictMunicipality
Context triple: [Mpumalanga local government sphere, includesDistrictMunicipality, Ehlanzeni District Municipality]
  • A. containsDistrictMunicipality chosen
    Indicates that an administrative region includes one or more district municipalities within its boundaries.
  • B. includesDistrict
    Indicates that one administrative or geographic entity contains or encompasses a specific district within its boundaries.
  • C. belongsToDistrictLevelCity
    Indicates that an entity is administratively part of, or falls under the jurisdiction of, a specific district-level city.
  • D. inCityDistrict
    Indicates that one entity is located within the boundaries of a specific city district.
  • E. occursInDistrict
    Indicates that an event or activity takes place within the boundaries of a specific district.
  • 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_69f76e0c73ec819080ab60a9e2f5f1f6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5b5bef97388190911d6ed78dcc47e8 completed July 18, 2026, 10:56 a.m.
PD Predicate disambiguation batch_6a037a04d8348190a4819666eab42c9b completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:05 p.m.