Triple

T11165974
Position Surface form Disambiguated ID Type / Status
Subject Mohrungen district E264159 entity
Predicate adminCenter P3892 FINISHED
Object Mohrungen E48937 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: Mohrungen | Statement: [Mohrungen district, adminCenter, Mohrungen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mohrungen
Context triple: [Mohrungen district, adminCenter, Mohrungen]
  • A. Mohrungen chosen
    Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
  • B. Mülbracht
    Mülbracht is a historical locality in the Holy Roman Empire known primarily as the birthplace of the Dutch Golden Age engraver and painter Hendrick Goltzius.
  • C. Kummerfeld
    Kummerfeld is a small municipality in northern Germany, located in the district of Pinneberg in the state of Schleswig-Holstein.
  • D. Mochau
    Mochau is a small locality in the German state of Saxony, situated within the administrative district of Mittelsachsen.
  • E. Hellenstein
    Hellenstein is the historical namesake associated with Hellenstein Castle, a prominent medieval fortress in Heidenheim, Germany.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e887293081909830852000d533fa completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483747ba88190aa6ef9df2545b18b completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:29 p.m.