Triple

T22785899
Position Surface form Disambiguated ID Type / Status
Subject provincial government of Transvaal E563963 entity
Predicate appliesToJurisdiction P82 FINISHED
Object Lydenburg district NE NERFINISHED

How this triple was built (3 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: Lydenburg district | Statement: [provincial government of Transvaal, appliesToJurisdiction, Lydenburg district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydenburg district
Context triple: [provincial government of Transvaal, appliesToJurisdiction, Lydenburg district]
  • A. Gudermessky District
    Gudermessky District is an administrative district in the Chechen Republic of Russia, located in the eastern part of the region and known for its predominantly Chechen population and the town of Gudermes as its main urban area.
  • B. Ilm-Kreis district
    Ilm-Kreis district is a rural administrative district in the state of Thuringia, Germany, known for its forests, small towns, and winter sports areas.
  • C. Miltenberg district
    Miltenberg district is a rural administrative district (Landkreis) in Lower Franconia, Bavaria, Germany, known for its scenic Main River landscapes, historic towns, and wine-growing traditions.
  • D. Kimrsky District
    Kimrsky District is an administrative district in Tver Oblast, Russia, centered around the town of Kimry and encompassing the surrounding rural areas.
  • E. Schwaz District
    Schwaz District is an administrative district in the Austrian state of Tyrol, known for its Alpine landscapes and tourism-oriented towns and villages.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lydenburg district
Target entity description: Lydenburg district was an administrative region in the former Transvaal province of South Africa, historically associated with early Boer settlement and gold mining activities.
  • A. Gudermessky District
    Gudermessky District is an administrative district in the Chechen Republic of Russia, located in the eastern part of the region and known for its predominantly Chechen population and the town of Gudermes as its main urban area.
  • B. Ilm-Kreis district
    Ilm-Kreis district is a rural administrative district in the state of Thuringia, Germany, known for its forests, small towns, and winter sports areas.
  • C. Miltenberg district
    Miltenberg district is a rural administrative district (Landkreis) in Lower Franconia, Bavaria, Germany, known for its scenic Main River landscapes, historic towns, and wine-growing traditions.
  • D. Kimrsky District
    Kimrsky District is an administrative district in Tver Oblast, Russia, centered around the town of Kimry and encompassing the surrounding rural areas.
  • E. Schwaz District
    Schwaz District is an administrative district in the Austrian state of Tyrol, known for its Alpine landscapes and tourism-oriented towns and villages.
  • F. None of above. chosen

Provenance (2 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c321f848190a4443aa6bb4e57d7 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.