Triple

T4729716
Position Surface form Disambiguated ID Type / Status
Subject Unterwallenstadt E104974 entity
Predicate isInFederalStateOf P13794 FINISHED
Object Bavaria E7752 NE FINISHED

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: Bavaria | Statement: [Unterwallenstadt, isInFederalStateOf, Bavaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bavaria
Context triple: [Unterwallenstadt, isInFederalStateOf, Bavaria]
  • A. Bavaria chosen
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • B. Swabia (Bavaria)
    Swabia (Bavaria) is an administrative region in southwestern Bavaria, Germany, known for its distinct Swabian cultural heritage and mix of industrial cities and rural landscapes.
  • C. Saxony
    Saxony is a historic region and former kingdom in eastern Germany, known for its cultural centers like Dresden and Leipzig and its significant role in Central European history.
  • D. Pfalz
    Pfalz is a major wine-producing region in southwestern Germany known for its diverse vineyards and high-quality white wines.
  • E. Saarland
    Saarland is a small federal state in southwestern Germany known for its industrial history, Franco-German cultural influences, and location along the borders with France and Luxembourg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInFederalStateOf
Context triple: [Unterwallenstadt, isInFederalStateOf, Bavaria]
  • A. federalStateOfGermany
    Indicates that one entity is a federal state (Bundesland) that is a constituent state within the country of Germany.
  • B. isProvinceOf
    Indicates that one region holds the administrative status of a province within, and is governed as a subnational division of, another political entity.
  • C. locatedInFederalEntity chosen
    Indicates that one entity is geographically or administratively situated within the jurisdiction or boundaries of a specified federal entity.
  • D. isInUSState
    Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
  • E. stateFederation
    Indicates that a state is a member of, or participates in, a larger federal union or federation.
  • F. None of above.

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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd67c9c3c08190a6c4944cdd1362a8 completed March 20, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba45b1a88190bb607182167060af completed March 21, 2026, 3:33 p.m.
PD Predicate disambiguation batch_69bd6220071881909670c89d072ffb6d completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:19 p.m.