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.