Triple
T35508602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buccella |
E1026218
|
entity |
| Predicate | belongsToRegionOfItaly |
P88159
|
FINISHED |
| Object | Lombardy |
—
|
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: Lombardy | Statement: [Buccella, belongsToRegionOfItaly, Lombardy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToRegionOfItaly Context triple: [Buccella, belongsToRegionOfItaly, Lombardy]
-
A.
locatedInRegionOfItaly
chosen
Indicates that an entity is geographically situated within a specific region of Italy.
-
B.
locatedInNorthernItaly
Indicates that the subject is situated within the geographical region of northern Italy.
-
C.
nearestMajorItalianRegion
Indicates the relationship where a location is associated with the geographically closest major administrative region of Italy.
-
D.
alignedItalyWith
Indicates that one entity brought Italy into political, military, or ideological agreement or cooperation with another entity.
-
E.
isLargestUrbanCenterAtTipOfItalianPeninsula
Indicates that a city is the biggest urban center located at the southern tip of the Italian Peninsula.
- 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_69f76dfd61208190b93ec6dc439cab41 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffa9677be08190852c8ef6c2545fed |
completed | May 9, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69ffa6570e2c8190a9d7b37f12b91d9a |
completed | May 9, 2026, 9:25 p.m. |
Created at: May 3, 2026, 4:04 p.m.