Triple

T28448573
Position Surface form Disambiguated ID Type / Status
Subject Prince of Dombes E715910 entity
Predicate associatedWithInstitution P2227 FINISHED
Object Parlement of Dombes
The Parlement of Dombes was a regional sovereign court of justice in the former principality of Dombes in France, exercising high judicial authority over the territory.
E1819834 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: Parlement of Dombes | Statement: [Prince of Dombes, associatedWithInstitution, Parlement of Dombes]
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: Parlement of Dombes
Triple: [Prince of Dombes, associatedWithInstitution, Parlement of Dombes]
Generated description
The Parlement of Dombes was a regional sovereign court of justice in the former principality of Dombes in France, exercising high judicial authority over the territory.

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_69efd6b44550819094ae991b553d9fc3 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64e7019108190bb173f2168586ade completed May 2, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a164189b8ac8190af1dcc00ba7af41c completed May 27, 2026, 12:57 a.m.
NEDg Description generation batch_6a1643ad8de88190a816be07516c73bc completed May 27, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_6a16440f3f8081909cb0f6c38c98e798 completed May 27, 2026, 1:08 a.m.
Created at: April 28, 2026, 1:50 a.m.