Triple
T21343145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magione |
E526251
|
entity |
| Predicate | isPartOfGeographicalArea |
P38421
|
FINISHED |
| Object | Lake Trasimeno area |
—
|
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: Lake Trasimeno area | Statement: [Magione, isPartOfGeographicalArea, Lake Trasimeno area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfGeographicalArea Context triple: [Magione, isPartOfGeographicalArea, Lake Trasimeno area]
-
A.
containsGeographicalArea
Indicates that one geographical area spatially encompasses or includes another geographical area within its boundaries.
-
B.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
-
C.
isRegionOf
chosen
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
D.
hasNearbyGeographicalArea
Indicates that one geographical area is located in close spatial proximity to another geographical area.
-
E.
hasGeographicType
Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a8515bc48190b79f80e505550cd5 |
completed | April 22, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:44 p.m.