Triple

T13110597
Position Surface form Disambiguated ID Type / Status
Subject Hof (Saale) E310959 entity
Predicate locatedNear P294 FINISHED
Object Frankenwald E828770 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: Frankenwald | Statement: [Hof (Saale), locatedNear, Frankenwald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankenwald
Context triple: [Hof (Saale), locatedNear, Frankenwald]
  • A. Frankenwald chosen
    Frankenwald is a low mountain range in northern Bavaria, Germany, known for its extensive forests and role as a watershed between the Main and Saale river systems.
  • B. Wildenberg
    Wildenberg is a small municipality in the Kelheim district of Lower Bavaria, Germany, known for its rural character and agricultural surroundings.
  • C. Finsterwald
    Finsterwald is a forested area or locality that forms part of the Bavarian town of Gmund am Tegernsee in southern Germany.
  • D. Wildberg
    Wildberg is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its scenic setting along the Nagold River and historic half-timbered architecture.
  • E. Kellerwald
    Kellerwald is a low mountain forest region in central Germany known for its ancient beech woodlands and protected national park status.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817e4f408190b77c198b4157d77a completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27d8110819087ade3537f867ae0 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.