Triple

T20961160
Position Surface form Disambiguated ID Type / Status
Subject Sababurg E516246 entity
Predicate locatedIn P40 FINISHED
Object Reinhardswald 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: Reinhardswald | Statement: [Sababurg, locatedIn, Reinhardswald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reinhardswald
Context triple: [Sababurg, locatedIn, Reinhardswald]
  • A. Reinhardswald chosen
    Reinhardswald is a large, historically rich forest region in northern Hesse, Germany, famed for its dense woodlands, legends, and association with Brothers Grimm fairy tales.
  • B. Schildwolde
    Schildwolde is a village in the Dutch province of Groningen, known for its historic church and rural character within the municipality of Midden-Groningen.
  • C. Rügenwalde
    Rügenwalde is a historic town in present-day Poland, known for its medieval heritage and former status as an important urban center in the Duchy of Pomerania.
  • D. Reckenwalde
    Reckenwalde is the former German name of the village now known as Wojnowo in western Poland’s Lubusz Voivodeship.
  • E. Hochwald
    Hochwald is a forested upland region in the Hunsrück mountains of western Germany, known for its high plateaus and natural landscapes.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6f134081908b1ed48ce708f3d5 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:31 p.m.