Triple

T29736005
Position Surface form Disambiguated ID Type / Status
Subject Oberdorf (Wolfurt) E752459 entity
Predicate geographicNameLanguage P24399 FINISHED
Object German 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: German | Statement: [Oberdorf (Wolfurt), geographicNameLanguage, German]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geographicNameLanguage
Context triple: [Oberdorf (Wolfurt), geographicNameLanguage, German]
  • A. hasLanguageOfToponym chosen
    Indicates that a place name (toponym) is expressed in or associated with a particular language.
  • B. eraNameLanguage
    Indicates the language in which an era name is expressed or recorded.
  • C. hasDemonymLanguage
    Indicates that a language is used as the demonym (people’s name or adjective of nationality) for inhabitants of a particular place or group.
  • D. countrySpecificName
    Indicates that an entity has a name or label that is specific to, or used within, a particular country.
  • E. modernCityNameLanguage
    Indicates that the modern name of a city is expressed in a particular language.
  • 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_69f0d62a36a88190bf860f00da433ff8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f6e6029a10819098ff21f58079e70e completed May 3, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69f6e3d5e8188190b1e1c2e5d1b77031 completed May 3, 2026, 5:57 a.m.
Created at: April 28, 2026, 7:45 p.m.