Triple

T23009378
Position Surface form Disambiguated ID Type / Status
Subject Split-Rocker E572864 entity
Predicate exhibitedAt P149 FINISHED
Object Riehen 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: Riehen | Statement: [Split-Rocker, exhibitedAt, Riehen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riehen
Context triple: [Split-Rocker, exhibitedAt, 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. Chrüzegg
    Chrüzegg is a mountain in the Swiss Prealps, popular for hiking and panoramic views over northeastern Switzerland.
  • E. Waldstetten
    Waldstetten is a small municipality in the German state of Baden-Württemberg, known for its scenic Swabian Alb surroundings and local rural character.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835919b08190ba78e182b87358d4 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.