Triple

T12609229
Position Surface form Disambiguated ID Type / Status
Subject Prince Leopold of Anhalt-Köthen E301067 entity
Predicate familyName P18 FINISHED
Object Ascania E422472 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: Ascania | Statement: [Prince Leopold of Anhalt-Köthen, familyName, Ascania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ascania
Context triple: [Prince Leopold of Anhalt-Köthen, familyName, Ascania]
  • A. Ascania chosen
    Ascania is a historic region in central Germany that gave its name to the medieval Ascanian noble dynasty.
  • B. Askania
    Askania is the ancient name of a historically significant lake, often associated with classical geography and mythology.
  • C. Arakoon
    Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
  • D. Senoia
    Senoia is a small historic city in Georgia, United States, known for its well-preserved downtown and frequent use as a filming location, particularly for the television series "The Walking Dead."
  • E. Corabia
    Corabia is a small town in southern Romania, situated on the Danube River in Olt County and known historically as a local port and agricultural center.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e90efc81909951dbe698afa851 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ecf3e248190868c1eb864191f8b completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:11 p.m.