Triple
T5445005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vercelli Book |
E122226
|
entity |
| Predicate | currentLocation |
P40
|
FINISHED |
| Object | Vercelli, Italy |
E243615
|
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: Vercelli, Italy | Statement: [Vercelli Book, currentLocation, Vercelli, Italy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vercelli, Italy Context triple: [Vercelli Book, currentLocation, Vercelli, Italy]
-
A.
Vercelli
chosen
Vercelli is a historic city in northern Italy’s Piedmont region, known for its medieval architecture and important role in rice cultivation.
-
B.
Bobbio
Bobbio is an Italian surname most notably borne by the influential 20th-century legal philosopher and political theorist Norberto Bobbio.
-
C.
Montecarotto, Italy
Montecarotto, Italy is a small hilltop town in the Marche region known for its medieval historic center, wine production, and traditional cultural festivals.
-
D.
Montella, Italy
Montella, Italy is a small town in the Campania region of southern Italy, known for its mountainous landscape and traditional chestnut production.
-
E.
Tivoli, Italy
Tivoli, Italy is a historic town near Rome renowned for its ancient villas, spectacular gardens, and scenic waterfalls.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91ce3e4081908e11a731416c0378 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4132bcf08190af2ca506a40fb26e |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:07 p.m.