Triple
T2182731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchy of Florence |
E49080
|
entity |
| Predicate | regionControlled |
P29031
|
FINISHED |
| Object | Florentine territory |
—
|
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: Florentine territory | Statement: [Duchy of Florence, regionControlled, Florentine territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionControlled Context triple: [Duchy of Florence, regionControlled, Florentine territory]
-
A.
regionRuled
Indicates that a particular region is governed or controlled by a specified ruler or authority.
-
B.
regionCoverage
Indicates that one entity geographically spans, includes, or serves the area defined by another entity.
-
C.
regionLocking
Indicates that access to or use of something is restricted based on the geographic region of the user or device.
-
D.
areaAControl
chosen
Indicates that one entity exercises control or authority over a specified area or region.
-
E.
regionException
Indicates an exception or exclusion to a rule, condition, or classification that applies specifically to a certain region or set of regions.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.