Triple

T22751723
Position Surface form Disambiguated ID Type / Status
Subject Rheineck E562717 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Gaissau 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: Gaissau | Statement: [Rheineck, neighboringMunicipality, Gaissau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaissau
Context triple: [Rheineck, neighboringMunicipality, Gaissau]
  • A. Gaissau chosen
    Gaissau is a small municipality in the Austrian state of Vorarlberg, located near the Rhine River and the border with Switzerland.
  • B. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • C. Langenrain
    Langenrain is a village and district of the municipality of Allensbach in the state of Baden-Württemberg in southern Germany.
  • D. Rohrau
    Rohrau is a small Austrian village in Lower Austria best known as the birthplace of composer Joseph Haydn.
  • E. Nassfeld
    Nassfeld is a major ski and alpine resort area in the Austrian Alps, known for its extensive slopes and modern winter sports facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b9ac348190bff4dc470931f7e3 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.