Triple
T28136321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florus |
E714215
|
entity |
| Predicate | workCoversPeriodFrom |
P9200
|
FINISHED |
| Object | foundation of Rome |
—
|
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: foundation of Rome | Statement: [Florus, workCoversPeriodFrom, foundation of Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workCoversPeriodFrom Context triple: [Florus, workCoversPeriodFrom, foundation of Rome]
-
A.
containsWorkFromPeriod
Indicates that something includes or features work that originates from a specified historical or temporal period.
-
B.
hasWorkPeriodStart
Indicates the point in time when a specified work period begins.
-
C.
coversPeriodStart
chosen
Indicates that the time span or coverage of one entity begins at, or includes, the specified starting point in time of another entity or period.
-
D.
appearsInWorkRange
Indicates that an entity is featured or occurs within a specified range or subset of a larger work or collection of works.
-
E.
hasWorkPeriod
Indicates that an entity is associated with a specific span of time during which it performs or is engaged in some work or activity.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f641309d94819090cdbc66bbcb32e1 |
completed | May 2, 2026, 6:23 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:50 p.m.