Triple
T35080449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Maria di Sala |
E1012420
|
entity |
| Predicate | hasItalianProvinceCode |
P99880
|
FINISHED |
| Object | VE |
—
|
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: VE | Statement: [Santa Maria di Sala, hasItalianProvinceCode, VE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasItalianProvinceCode Context triple: [Santa Maria di Sala, hasItalianProvinceCode, VE]
-
A.
ISTATCode
Indicates that an entity is associated with a specific ISTAT (Italian National Institute of Statistics) classification or code.
-
B.
nearestMajorItalianRegion
Indicates the relationship where a location is associated with the geographically closest major administrative region of Italy.
-
C.
locatedInRegionOfItaly
Indicates that an entity is geographically situated within a specific region of Italy.
-
D.
municipalProvince
Indicates that a municipality is administratively located within or governed as part of a specific province.
-
E.
hasProvincialCode
chosen
Indicates that an entity is associated with a specific provincial code that identifies its province or administrative region.
- 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_69f76dd32c008190853aef6028f60208 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.