Triple

T7076876
Position Surface form Disambiguated ID Type / Status
Subject Schloss Ahlden E164841 entity
Predicate locatedInAdministrativeTerritorialEntity P40 FINISHED
Object Heidekreis E164519 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: Heidekreis | Statement: [Schloss Ahlden, locatedInAdministrativeTerritorialEntity, Heidekreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heidekreis
Context triple: [Schloss Ahlden, locatedInAdministrativeTerritorialEntity, Heidekreis]
  • A. Heidekreis chosen
    Heidekreis is a rural district in Lower Saxony, Germany, known for its heath landscapes, nature reserves, and historic sites.
  • B. Hagen am Teutoburger Wald
    Hagen am Teutoburger Wald is a small municipality in Lower Saxony, Germany, situated near the Teutoburg Forest and close to the city of Osnabrück.
  • C. Kellerwald
    Kellerwald is a low mountain forest region in central Germany known for its ancient beech woodlands and protected national park status.
  • D. Gandersheim
    Gandersheim is a historic town in present-day Lower Saxony, Germany, best known for its medieval abbey and role as a cultural and religious center in the early Holy Roman Empire.
  • E. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ebf4048190bf5d7156817f93a7 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8ca5a48190bbfbf640fb1f778d completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:40 p.m.