Triple

T17248616
Position Surface form Disambiguated ID Type / Status
Subject Friedberg (Hesse) E418690 entity
Predicate hasNearbyRegion P17964 FINISHED
Object Vogelsberg E435823 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: Vogelsberg | Statement: [Friedberg (Hesse), hasNearbyRegion, Vogelsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vogelsberg
Context triple: [Friedberg (Hesse), hasNearbyRegion, Vogelsberg]
  • A. Vogelsberg chosen
    Vogelsberg is a large volcanic mountain range in the German state of Hesse, known for its forested highlands and rural landscapes.
  • B. Witzmannsberg
    Witzmannsberg is a small rural municipality in the Bavarian region of Lower Bavaria, Germany, known for its scenic countryside and traditional village character.
  • C. Festungsberg
    Festungsberg is a prominent hill in Salzburg, Austria, best known as the site of the medieval Hohensalzburg Fortress overlooking the city.
  • D. Todtnau
    Todtnau is a small town in Germany’s Black Forest region, known for its mountainous scenery, outdoor recreation, and proximity to the Feldberg peak.
  • E. Rohrbach-Berg
    Rohrbach-Berg is a small market town in Upper Austria that serves as an important local hub for administration, commerce, and services in the Mühlviertel region.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e2569c081908ffd3ee9c76bcc17 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f96e548190be92846e072118f9 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.