Triple
T29731263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Sicily |
E752326
|
entity |
| Predicate | firstOverseasProvinceOf |
P203157
|
FINISHED |
| Object | Roman Republic |
—
|
NE NERFINISHED |
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: Roman Republic | Statement: [Province of Sicily, firstOverseasProvinceOf, Roman Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOverseasProvinceOf Context triple: [Province of Sicily, firstOverseasProvinceOf, Roman Republic]
-
A.
isColonialFoundationOf
Indicates that one entity was established as a colony that later developed into or served as the origin of the other entity.
-
B.
establishedAsProvinceIn
Indicates that an entity was formally designated or created as a province in a specified year or time period.
-
C.
destinationColony
Indicates the colony that serves as the endpoint or target location to which something or someone is directed or sent.
-
D.
laterProvince
Indicates that one administrative region or province succeeds another in time, coming into existence or effect after the other.
-
E.
foundedAsColonyFor
Indicates that one entity was established as a colony specifically for the benefit, use, or purposes of another entity.
- F. None of above. chosen
Provenance (4 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_69f0d62a36a88190bf860f00da433ff8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a012efebda88190a90c8f650e4b1ee9 |
completed | May 11, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_6a01298cc604819087c836659c128926 |
completed | May 11, 2026, 12:57 a.m. |
| PDg | Predicate description generation | batch_6a012efdf4f08190a006136f7b48da15 |
completed | May 11, 2026, 1:21 a.m. |
Created at: April 28, 2026, 7:42 p.m.