Triple
T8388502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cisalpine Gaul |
E197879
|
entity |
| Predicate | statusBeforeIncorporation |
P81804
|
FINISHED |
| Object | separate province |
—
|
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: separate province | Statement: [Cisalpine Gaul, statusBeforeIncorporation, separate province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusBeforeIncorporation Context triple: [Cisalpine Gaul, statusBeforeIncorporation, separate province]
-
A.
statusBeforeNationalization
Indicates the condition or classification an entity had prior to being nationalized.
-
B.
incorporatedStatus
Indicates whether an entity has been legally formed and registered as a corporation or similar incorporated organization.
-
C.
initiallyNotIncorporatedAgainst
Indicates that an entity was originally not included or applied in relation to another entity or context at the initial point in time.
-
D.
constitutionalStatusBeforeMerger
Indicates the constitutional or legal status an entity held prior to being merged into another entity or structure.
-
E.
legalFormedAs
Indicates that an entity was established or constituted under a specific legal structure or organizational form.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb81090f688190a3a8d1680383c361 |
completed | March 31, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76da264881909483b835e1db06da |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:03 p.m.