Triple

T23338648
Position Surface form Disambiguated ID Type / Status
Subject Wangen an der Aare E591672 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Heimenhausen 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: Heimenhausen | Statement: [Wangen an der Aare, hasNeighboringMunicipality, Heimenhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heimenhausen
Context triple: [Wangen an der Aare, hasNeighboringMunicipality, Heimenhausen]
  • A. Heimenhausen chosen
    Heimenhausen is a small municipality in the Oberaargau region of the canton of Bern in Switzerland.
  • B. Haimhausen
    Haimhausen is a small municipality in Upper Bavaria, Germany, known for its historic castle and rural setting north of Munich.
  • C. Emmenhausen
    Emmenhausen is a small village that forms part of the municipality of Bovenden in Lower Saxony, Germany.
  • D. Helmarshausen
    Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
  • E. Mimmenhausen
    Mimmenhausen is a village in the Bodenseekreis district of Baden-Württemberg, Germany, now incorporated into the municipality of Salem.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983099188190a2e05cf81d62a641 completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:17 p.m.