Triple

T18463595
Position Surface form Disambiguated ID Type / Status
Subject Oberbürgermeister E451098 entity
Predicate canExistIn P57262 FINISHED
Object kreisfreie Stadt (independent city) 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: kreisfreie Stadt (independent city) | Statement: [Oberbürgermeister, canExistIn, kreisfreie Stadt (independent city)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canExistIn
Context triple: [Oberbürgermeister, canExistIn, kreisfreie Stadt (independent city)]
  • A. canExistAt
    Indicates that an entity is capable of being present or occurring at a specified location, time, or context.
  • B. existsAs
    Indicates that one entity has the same identity or manifestation as another, effectively asserting they are the same existing thing or state.
  • C. existsWithin chosen
    Indicates that one entity is located inside the spatial, temporal, or conceptual boundaries of another entity.
  • D. existsFor
    Indicates that something is present, available, or holds true for a particular entity, context, or condition.
  • E. canCoexistWith
    Indicates that two entities are able to exist together in the same context or environment without conflict, interference, or mutual exclusion.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a8190508190a74b1d3482364905 completed April 19, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69e469d05cf4819099baf1665a9cf18a completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:33 a.m.