Triple

T465576
Position Surface form Disambiguated ID Type / Status
Subject Braunau am Inn E8438 entity
Predicate hasNearbyGermanState P12928 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: [Braunau am Inn, hasNearbyGermanState, Bavaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bavaria
Context triple: [Braunau am Inn, hasNearbyGermanState, 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. 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.
  • E. Baden-Württemberg
    Baden-Württemberg is a federal state in southwest Germany known for its strong economy, automotive industry, and cities like Stuttgart, Heidelberg, and Freiburg.
  • 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: hasNearbyGermanState
Context triple: [Braunau am Inn, hasNearbyGermanState, Bavaria]
  • A. bordersGermanState chosen
    Indicates that one entity shares a land or maritime boundary directly with a German federal state.
  • B. hasNearbyTown
    Indicates that one location has a town situated close to it in geographic proximity.
  • C. hasCanton
    Indicates that an entity is administratively divided into, or associated with, a specific canton.
  • D. neighboringPeoples
    Indicates that two peoples or ethnic groups live in adjacent or nearby territories, sharing a common border or close geographic proximity.
  • E. neighboringCountryBySea
    Indicates that one country is adjacent to another with their territories touching via a shared sea boundary rather than solely by land.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd6ec708190b78c7f22deb3ca64 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c38608948190b1fc28a2fec670ea completed March 2, 2026, 5:06 p.m.
PD Predicate disambiguation batch_69a2edea1acc81908a72d9f4c43438ea completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.