Triple
T11390594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paolo Borsellino |
E269824
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Marsala |
E54390
|
NE 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: Marsala | Statement: [Paolo Borsellino, workLocation, Marsala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marsala Context triple: [Paolo Borsellino, workLocation, Marsala]
-
A.
Marsala
chosen
Marsala is a coastal city in western Sicily, Italy, best known for producing the fortified wine that shares its name.
-
B.
Musso
Musso is a small town on the western shore of Lake Como in northern Italy, known for its scenic lakeside setting and historic connections.
-
C.
Musso
Musso was a prominent Indonesian communist leader who played a key role in the early development and radicalization of the Indonesian leftist movement.
-
D.
Malvasía wine
Malvasía wine is a distinctive, often sweet white wine made from Malvasia grapes, traditionally produced in various Mediterranean and Atlantic regions.
-
E.
Moscatel de Alejandría
Moscatel de Alejandría is an ancient, aromatic white grape variety widely used for both sweet and dry wines as well as table grapes in Mediterranean and Latin American wine regions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c8f5ed88190b9cc55c0a73993ec |
completed | April 20, 2026, 2:16 a.m. |
Created at: April 8, 2026, 9:34 p.m.