Triple
T32790182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Syncellus |
E838604
|
entity |
| Predicate | chronicleCoverage |
P103499
|
FINISHED |
| Object | from Creation to the reign of Diocletian |
—
|
LITERAL 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: from Creation to the reign of Diocletian | Statement: [George Syncellus, chronicleCoverage, from Creation to the reign of Diocletian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronicleCoverage Context triple: [George Syncellus, chronicleCoverage, from Creation to the reign of Diocletian]
-
A.
chronicleFocus
Indicates that something serves as the primary subject, theme, or emphasis within a chronicle or narrative account.
-
B.
chronicleScope
chosen
Indicates the temporal or contextual span over which an event, process, or narrative is recorded or documented.
-
C.
notableEventCoverage
Indicates that there is media or documented coverage specifically focused on a notable event related to the subject.
-
D.
chronicledBy
Indicates that something is documented, recorded, or described in detail by a particular source, author, or record.
-
E.
chronologicallyCovers
Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
- F. None of above.
Provenance (3 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_69f3493b83f48190be335cd42465cecf |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 1, 2026, 1:14 a.m.