Triple

T9077205
Position Surface form Disambiguated ID Type / Status
Subject Bettingen E217517 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Riehen E134855 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: Riehen | Statement: [Bettingen, neighboringMunicipality, Riehen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riehen
Context triple: [Bettingen, neighboringMunicipality, Riehen]
  • A. Riehen chosen
    Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
  • B. Vaterstetten
    Vaterstetten is a municipality in the district of Ebersberg near Munich in Bavaria, Germany, known as a residential suburb with strong transport links to the Bavarian capital.
  • C. Sulzach
    Sulzach is a small river in Bavaria, Germany, that flows through the town of Feuchtwangen and forms part of the local Franconian river system.
  • D. Ranshofen
    Ranshofen is a district of the town of Braunau am Inn in Upper Austria, known historically for its industrial facilities and its location near the German border.
  • E. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c6a67c81908d143aa25e1e803e completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1100ccc888190a80f4b73b336c1ad completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:12 p.m.