Triple

T21912946
Position Surface form Disambiguated ID Type / Status
Subject Wiefelstede E541109 entity
Predicate locatedIn P40 FINISHED
Object Ammerland (district) 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: Ammerland (district) | Statement: [Wiefelstede, locatedIn, Ammerland (district)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ammerland (district)
Context triple: [Wiefelstede, locatedIn, Ammerland (district)]
  • A. Ammerland (district) chosen
    Ammerland is a rural district in Lower Saxony, Germany, known for its peatlands, tree nurseries, and the spa town of Bad Zwischenahn.
  • B. Ammerland
    Ammerland is a locality within the Bavarian municipality of Münsing in Germany, situated near Lake Starnberg.
  • C. Emsland
    Emsland is a rural region in western Germany known for its agriculture, peatlands, and location along the River Ems near the Dutch border.
  • D. Pinneberg district
    Pinneberg district is an administrative district in the German state of Schleswig-Holstein, situated northwest of Hamburg and known for being one of the most densely populated rural districts in the country.
  • E. District of Helmstedt
    The District of Helmstedt is a rural administrative district in the German state of Lower Saxony, known for its historical mining industry and location near the former inner-German border.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121db1dc48190af5dc634431d863a completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:41 p.m.