Triple

T16460128
Position Surface form Disambiguated ID Type / Status
Subject Muri bei Bern E399784 entity
Predicate borderedBy P224 FINISHED
Object Allmendingen E436098 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: Allmendingen | Statement: [Muri bei Bern, borderedBy, Allmendingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allmendingen
Context triple: [Muri bei Bern, borderedBy, Allmendingen]
  • A. Allmendingen
    Allmendingen is a small town in the Alb-Donau district of the German state of Baden-Württemberg, known for its rural character and proximity to the Swabian Jura.
  • B. Allmendingen chosen
    Allmendingen is a small Swiss municipality in the canton of Bern, situated within the Bern-Mittelland region.
  • C. Emmendingen
    Emmendingen is a town in southwestern Germany’s Baden-Württemberg state, known for its historic old town and location near Freiburg in the Breisgau region.
  • D. Stagenhoe
    Stagenhoe is a historic country house and estate in Hertfordshire, England, noted for its landscaped grounds and traditional English manor architecture.
  • E. Dormansland
    Dormansland is a rural village and civil parish in Surrey, England, known for its countryside setting near the Sussex border.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d80e66c8190b2b3199efe9cfaa1 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f53aff081909a75de6672f15f0e completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.