Triple

T31481059
Position Surface form Disambiguated ID Type / Status
Subject Anicius Maximus E803140 entity
Predicate timePeriod P302 FINISHED
Object Late Roman Empire
The Late Roman Empire was the final phase of ancient Roman civilization, marked by political fragmentation, Christianization, and transformation into the Byzantine and various successor states between the 3rd and 5th centuries AD.
 E15570 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: Late Roman Empire | Statement: [Anicius Maximus, timePeriod, Late Roman Empire]
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: Late Roman Empire
Triple: [Anicius Maximus, timePeriod, Late Roman Empire]
Generated description
The Late Roman Empire was the final phase of ancient Roman civilization, marked by political fragmentation, Christianization, and transformation into the Byzantine and various successor states between the 3rd and 5th centuries AD.

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_69f348c9477c8190bc0a21f6d482d2fc completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a1b004bc8190bb6b85721f446854 completed May 3, 2026, 1:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b2d73bbec819099ce3d1b20a95ebd completed June 11, 2026, 9:49 p.m.
NEDg Description generation batch_6a2b2e11378081908ff4c8eeef882969 completed June 11, 2026, 9:52 p.m.
NED2 Entity disambiguation (via description) batch_6a2b2e5f6ffc81908c967ef7a160d76e completed June 11, 2026, 9:53 p.m.
Created at: April 30, 2026, 9:32 p.m.