Triple

T12566815
Position Surface form Disambiguated ID Type / Status
Subject Province of Westphalia E295497 entity
Predicate containsSettlement P847 FINISHED
Object Ahlen E668889 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: Ahlen | Statement: [Province of Westphalia, containsSettlement, Ahlen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahlen
Context triple: [Province of Westphalia, containsSettlement, Ahlen]
  • A. Ahlen chosen
    Ahlen is a mid-sized industrial town in the German state of North Rhine-Westphalia, known historically for coal mining and now for its diversified manufacturing sector.
  • B. Ehrenkirchen
    Ehrenkirchen is a municipality in the Breisgau region of southwestern Germany, known for its winegrowing tradition and proximity to the Black Forest.
  • C. Iserlohn
    Iserlohn is a city in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known historically for its role in World War II and its metalworking and industrial heritage.
  • D. Hilden
    Hilden is a town in western Germany’s North Rhine-Westphalia region, known for its proximity to Düsseldorf and its mix of residential, commercial, and light industrial areas.
  • E. Furth
    A Furth is a mountain in the British Isles outside Scotland that meets the height and prominence criteria to be classified similarly to a Scottish Munro.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a325948190994bcfc9d571a3a8 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558f87b081909ba179b49bae3913 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:49 p.m.