Triple

T19464695
Position Surface form Disambiguated ID Type / Status
Subject Otterberg Abbey E486962 entity
Predicate locatedIn P40 FINISHED
Object Otterberg 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: Otterberg | Statement: [Otterberg Abbey, locatedIn, Otterberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otterberg
Context triple: [Otterberg Abbey, locatedIn, Otterberg]
  • A. Otterberg chosen
    Otterberg is a small historic town in the Rhineland-Palatinate region of western Germany, known for its former Cistercian abbey and medieval architecture.
  • B. Otterwisch
    Otterwisch is a small municipality in the Free State of Saxony in eastern Germany, situated within the wider Leipzig metropolitan area.
  • C. Otterfing
    Otterfing is a small Bavarian municipality in southern Germany, situated near Munich and known for its rural character and surrounding forests and farmland.
  • D. Oberems
    Oberems is a village and municipal district within the municipality of Glashütten in the Hochtaunus region of Hesse, Germany.
  • E. Marienthal
    Marienthal is a district of the German city of Zwickau, known primarily as a residential area with local amenities and green spaces.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633d0fe3c8190b637f78bfad704d0 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.