Triple
T8915828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bononia |
E212293
|
entity |
| Predicate | wasRomanColonyFrom |
P50574
|
FINISHED |
| Object | 2nd century BC |
—
|
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: 2nd century BC | Statement: [Bononia, wasRomanColonyFrom, 2nd century BC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasRomanColonyFrom Context triple: [Bononia, wasRomanColonyFrom, 2nd century BC]
-
A.
wasRomanTown
chosen
Indicates that the subject entity functioned as a town or urban settlement during the period of the Roman Empire.
-
B.
wasColonyOf
Indicates that one entity functioned as a colony under the political control or administration of another entity.
-
C.
romanProvinceAfterConquest
Indicates that a territory became a Roman province following its military conquest by Rome.
-
D.
wasRomanFort
Indicates that the subject functioned as a Roman military fort at some point in time.
-
E.
representedColony
Indicates that an entity acted as an official representative or delegate for a particular colony in some context or event.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc660f6a088190b0af829ea809d8ad |
completed | April 1, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:56 p.m.