Triple

T13339994
Position Surface form Disambiguated ID Type / Status
Subject Unterengstringen E317798 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Weiningen E325834 NE FINISHED

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: Weiningen | Statement: [Unterengstringen, hasNeighboringMunicipality, Weiningen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weiningen
Context triple: [Unterengstringen, hasNeighboringMunicipality, Weiningen]
  • A. Weiningen chosen
    Weiningen is a small Swiss municipality in the canton of Zurich, located in the Limmat Valley near the city of Zurich.
  • B. Wehringen
    Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
  • C. Worringen
    Worringen is a district in the northern part of Cologne, Germany, historically notable as the site of the 1288 Battle of Worringen.
  • D. Heiningen
    Heiningen is a small municipality in the German state of Baden-Württemberg, historically notable as the birthplace of Archbishop-Elector Gebhard Truchsess von Waldburg.
  • E. Oensingen
    Oensingen is a Swiss municipality located in the canton of Solothurn, known as a regional transport hub near the Jura mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d01bf8481908cd3a99e5557b972 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f3ecf4c8190bb9eee699859dc08 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.