Triple

T3811857
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Mark E93153 entity
Predicate notableTown P14082 FINISHED
Object 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: Altena | Statement: [Duchy of Mark, notableTown, Altena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altena
Context triple: [Duchy of Mark, notableTown, Altena]
  • A. 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.
  • B. Fürstenwalde
    Fürstenwalde is a town in eastern Germany’s Brandenburg region, known for its location on the River Spree and its historic churches and medieval architecture.
  • C. Zerbst
    Zerbst is a historic town in Saxony-Anhalt, Germany, known as the birthplace of Catherine the Great and for its former role as a princely residence.
  • D. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • E. Seligenstadt
    Seligenstadt is a historic town in Hesse, Germany, known for its well-preserved medieval center and its association with the Carolingian scholar Einhard.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80faaa88190b05f8aec8aa5c44d completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67a7c3188190bc5d75eb2efb653d completed March 21, 2026, 9:40 a.m.
Created at: March 9, 2026, 3:16 p.m.