Triple

T4221512
Position Surface form Disambiguated ID Type / Status
Subject Ascanian dynasty E94350 entity
Predicate namedAfter P63 FINISHED
Object Ascania
Ascania is a historic region in central Germany that gave its name to the medieval Ascanian noble dynasty.
 E422472 NE FINISHED

How this triple was built (4 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: [Ascanian dynasty, namedAfter, Ascania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ascania
Context triple: [Ascanian dynasty, namedAfter, Ascania]
  • A. Rhodogune
    Rhodogune was an Achaemenid Persian queen, known primarily as the mother of King Darius I of Persia.
  • B. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • C. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • D. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • E. Cosia
    Cosia is a small river in northern Italy that flows through the city of Como before emptying into Lake Como.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ascania
Triple: [Ascanian dynasty, namedAfter, Ascania]
Generated description
Ascania is a historic region in central Germany that gave its name to the medieval Ascanian noble dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ascania
Target entity description: Ascania is a historic region in central Germany that gave its name to the medieval Ascanian noble dynasty.
  • A. Rhodogune
    Rhodogune was an Achaemenid Persian queen, known primarily as the mother of King Darius I of Persia.
  • B. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • C. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • D. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • E. Cosia
    Cosia is a small river in northern Italy that flows through the city of Como before emptying into Lake Como.
  • F. None of above. chosen

Provenance (5 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0e06d881908e3aa8ef1a90c010 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59642720c81908e68a56b3d30eef9 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596cb73ac81909f83daca406ad8c4 completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59a9c386081909c21ad554d403bfc completed March 14, 2026, 5:27 p.m.
Created at: March 12, 2026, 11:04 p.m.