Triple

T30248838
Position Surface form Disambiguated ID Type / Status
Subject Sauldorf E769136 entity
Predicate localSubdivision P171071 FINISHED
Object Landkreis Sigmaringen NE NERFINISHED

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: Landkreis Sigmaringen | Statement: [Sauldorf, localSubdivision, Landkreis Sigmaringen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: localSubdivision
Context triple: [Sauldorf, localSubdivision, Landkreis Sigmaringen]
  • A. citySubdivision
    Indicates that one administrative or geographic unit is a smaller subdivision contained within a larger city.
  • B. subdivisionNameLocal
    Indicates the locally used or native-language name assigned to a specific administrative or geographic subdivision.
  • C. collectionSubdivision
    Indicates that one collection is a constituent part, section, or subdivision of a larger collection.
  • D. realmSubdivision
    Indicates a hierarchical relationship where one realm is a constituent subdivision or part of a larger realm.
  • E. isLocatedInSubdivision
    Indicates that one place or entity is situated within a more specific administrative or geographic subdivision of another area.
  • F. None of above. chosen

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_69f224831dc08190b2e569b987264057 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f698ad83a08190a6834056ccc3e3a4 completed May 3, 2026, 12:37 a.m.
PD Predicate disambiguation batch_69f69664142c8190bc695501056b0236 completed May 3, 2026, 12:27 a.m.
PDg Predicate description generation batch_69f697e92e2c8190bed50d5ba0981b64 completed May 3, 2026, 12:33 a.m.
Created at: April 29, 2026, 7:40 p.m.