Triple

T15968601
Position Surface form Disambiguated ID Type / Status
Subject Altena Castle E387261 entity
Predicate overlooks P1323 FINISHED
Object town of Altena E403773 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: town of Altena | Statement: [Altena Castle, overlooks, town of Altena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Altena
Context triple: [Altena Castle, overlooks, town of Altena]
  • A. municipality of Altena
    The municipality of Altena is a local government area in the Dutch province of North Brabant, formed by the merger of several former municipalities on the riverine island region between the Maas and Merwede rivers.
  • B. Altenau
    Altenau is a small town in Germany’s Harz Mountains, historically known as a mining and spa resort surrounded by dense forests and mountain landscapes.
  • C. Altena
    Altena is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
  • D. Altena chosen
    Altena is a town in western Germany’s North Rhine-Westphalia region, known for its historic hilltop castle and role in the industrial and cultural history of the Sauerland area.
  • E. Altenkunstadt
    Altenkunstadt is a market town in Upper Franconia, Bavaria, Germany, situated on the river Main and known for its historic center and regional textile and shoe industries.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157277e7881908d49f4874766b3b5 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe87149081909ac6129126f597c2 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.