Triple

T31311457
Position Surface form Disambiguated ID Type / Status
Subject Merovech E798474 entity
Predicate ethnicity P194 FINISHED
Object Frank
The Franks were a confederation of Germanic tribes that rose to prominence in Western Europe during the early Middle Ages, forming the foundation of the Frankish Empire and later influencing the development of modern France and Germany.
E1461966 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: Frank | Statement: [Merovech, ethnicity, Frank]
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: Frank
Triple: [Merovech, ethnicity, Frank]
Generated description
The Franks were a confederation of Germanic tribes that rose to prominence in Western Europe during the early Middle Ages, forming the foundation of the Frankish Empire and later influencing the development of modern France and Germany.

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_69f224e1932c81908fef14f7b03a10b7 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69e68e69481909e7d8adb46dd50f5 completed May 3, 2026, 1:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e281dd48190bef9d576bffec04b completed June 11, 2026, 2:32 a.m.
NEDg Description generation batch_6a2a1ed23ab08190a75afec464a3ca19 completed June 11, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_6a2a1f6218708190848e46be46fa846f completed June 11, 2026, 2:37 a.m.
Created at: April 29, 2026, 9:15 p.m.