Triple
T18122713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Severo |
E433782
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Capitanata |
—
|
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: Capitanata | Statement: [San Severo, partOf, Capitanata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capitanata Context triple: [San Severo, partOf, Capitanata]
-
A.
D’Abruzzo
D’Abruzzo is an Italian surname associated with actor Robert Alda, reflecting his family’s Abruzzese heritage.
-
B.
Apulia
chosen
Apulia is a region in southeastern Italy forming the heel of the Italian "boot," known for its ancient Greek heritage, whitewashed hill towns, olive groves, and Adriatic coastline.
-
C.
Campidanesu
Campidanesu is the native name for Campidanese Sardinian, a major dialect of the Sardinian language spoken in southern Sardinia.
-
D.
Molise
Molise is a small, predominantly rural region in southern Italy known for its mountainous landscapes, traditional agriculture, and relatively low population density.
-
E.
Abruzzo
Abruzzo is a central Italian region known for its rugged Apennine mountains, national parks, and Adriatic Sea coastline.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddeb2d7881909326cb9d2f5e2fb5 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.