Triple

T28846349
Position Surface form Disambiguated ID Type / Status
Subject VI E728464 entity
Predicate usedAsDesignationOf P49802 FINISHED
Object Legio VI Ferrata
Legio VI Ferrata was a renowned Roman legion, active from the late Republic through the early Empire, noted for its campaigns under Julius Caesar and later emperors in the eastern provinces.
E1866077 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: Legio VI Ferrata | Statement: [VI, usedAsDesignationOf, Legio VI Ferrata]
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: Legio VI Ferrata
Triple: [VI, usedAsDesignationOf, Legio VI Ferrata]
Generated description
Legio VI Ferrata was a renowned Roman legion, active from the late Republic through the early Empire, noted for its campaigns under Julius Caesar and later emperors in the eastern provinces.

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_69f0319e8e7c8190b37288c8845b9dbc completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f7c89c332c8190a625feb27bff2bb8 completed May 3, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25d8f25bc881909cc0762ae16d3264 completed June 7, 2026, 8:47 p.m.
NEDg Description generation batch_6a25dcffa7b481908d59b0da4dc1fa7c completed June 7, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_6a25e0dc908c8190a3d1b875d35bee66 completed June 7, 2026, 9:21 p.m.
Created at: April 28, 2026, 6:42 a.m.