Triple

T21035609
Position Surface form Disambiguated ID Type / Status
Subject Öhningen E518180 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Gaienhofen NE NERFINISHED

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: Gaienhofen | Statement: [Öhningen, hasNeighbouringMunicipality, Gaienhofen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaienhofen
Context triple: [Öhningen, hasNeighbouringMunicipality, Gaienhofen]
  • A. Neuhofen
    Neuhofen is a locality that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
  • B. Gerolzhofen
    Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
  • C. Gerhardshofen
    Gerhardshofen is a small rural municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
  • D. Attenhofen
    Attenhofen is a small municipality in the Bavarian region of Germany, known for its rural character and local agriculture.
  • E. Allmannshofen
    Allmannshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gaienhofen
Target entity description: Gaienhofen is a municipality on the Höri peninsula by Lake Constance in Baden-Württemberg, Germany, known for its scenic lakeside setting and association with writer Hermann Hesse.
  • A. Neuhofen
    Neuhofen is a locality that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
  • B. Gerolzhofen
    Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
  • C. Gerhardshofen
    Gerhardshofen is a small rural municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
  • D. Attenhofen
    Attenhofen is a small municipality in the Bavarian region of Germany, known for its rural character and local agriculture.
  • E. Allmannshofen
    Allmannshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
  • F. None of above. chosen

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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc858d808190a8489aac801a4f51 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 2:02 p.m.