Triple
T38225797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian Livorno Division |
E1012140
|
entity |
| Predicate | geographicOperationArea |
P54919
|
FINISHED |
| Object | Sicily |
—
|
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: Sicily | Statement: [Italian Livorno Division, geographicOperationArea, Sicily]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicOperationArea Context triple: [Italian Livorno Division, geographicOperationArea, Sicily]
-
A.
geographicAreaOfSupport
chosen
Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
-
B.
containsGeographicalArea
Indicates that one geographical area spatially encompasses or includes another geographical area within its boundaries.
-
C.
geographicCriterion
Indicates that the relationship or selection is determined based on geographic factors, such as location, region, or spatial boundaries.
-
D.
geographicCoverageType
Indicates the type or nature of the geographic area that something covers or applies to.
-
E.
regulatedArea
Indicates that an area is subject to specific rules, controls, or restrictions imposed by an authority.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 3, 2026, 4:30 p.m.