Triple

T21518652
Position Surface form Disambiguated ID Type / Status
Subject Leuzigen (BE) E530911 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Meienried
Meienried is a small rural municipality in the canton of Bern, Switzerland, situated in the Seeland region near the Aare River.
E1502332 NE FINISHED

How this triple was built (4 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: Meienried | Statement: [Leuzigen (BE), hasNeighboringMunicipality, Meienried]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meienried
Context triple: [Leuzigen (BE), hasNeighboringMunicipality, Meienried]
  • A. Immenried
    Immenried is a village and district of the spa town Bad Wurzach in the Ravensburg region of Baden-Württemberg, Germany.
  • B. Herrischried
    Herrischried is a small municipality in the southern Black Forest region of Baden-Württemberg, Germany, known for its scenic landscapes and outdoor recreation opportunities.
  • C. Riederau
    Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
  • D. Rheineck
    Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
  • E. Lorsbach
    Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Meienried
Triple: [Leuzigen (BE), hasNeighboringMunicipality, Meienried]
Generated description
Meienried is a small rural municipality in the canton of Bern, Switzerland, situated in the Seeland region near the Aare River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meienried
Target entity description: Meienried is a small rural municipality in the canton of Bern, Switzerland, situated in the Seeland region near the Aare River.
  • A. Immenried
    Immenried is a village and district of the spa town Bad Wurzach in the Ravensburg region of Baden-Württemberg, Germany.
  • B. Herrischried
    Herrischried is a small municipality in the southern Black Forest region of Baden-Württemberg, Germany, known for its scenic landscapes and outdoor recreation opportunities.
  • C. Riederau
    Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
  • D. Rheineck
    Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
  • E. Lorsbach
    Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
  • F. None of above. chosen

Provenance (5 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee81438cbc8190aba0f546b27eb2a4 completed April 26, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e5b04948190a62f3ed43ce115f0 completed May 17, 2026, 10:16 p.m.
NEDg Description generation batch_6a0a3f0745b0819084e481b0b3cdf011 completed May 17, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0a3fbeace48190874b808fd94d9e3c completed May 17, 2026, 10:22 p.m.
Created at: April 16, 2026, 6:25 p.m.