Triple

T36656419
Position Surface form Disambiguated ID Type / Status
Subject Ködnitz E905002 entity
Predicate isInFranconianRegion P60431 FINISHED
Object true 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: true | Statement: [Ködnitz, isInFranconianRegion, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInFranconianRegion
Context triple: [Ködnitz, isInFranconianRegion, true]
  • A. isLocatedInFranconiaRegion chosen
    Indicates that something is situated within the geographical boundaries of the Franconia region.
  • B. hasFranconianName
    Indicates that an entity is associated with a name or designation in the Franconian language or dialect.
  • C. isBavarianMunicipality
    Indicates that an entity functions as a municipality located within the federal state of Bavaria.
  • D. isInBundesland
    Indicates that one entity (typically a place or city) is located within a specific German federal state (Bundesland).
  • E. containsGermanSpeakingArea
    Indicates that one entity geographically includes an area where German is predominantly spoken.
  • 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_69f76e6e3b908190970251b30f76ad71 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c777e924819081a6634f549fe552 completed May 3, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69f7c4796ebc819084a0dc08505e5f14 completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:11 p.m.