Triple
T20731808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castello dei Conti Guidi |
E509589
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | town of Vinci |
—
|
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: town of Vinci | Statement: [Castello dei Conti Guidi, hasView, town of Vinci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Vinci Context triple: [Castello dei Conti Guidi, hasView, town of Vinci]
-
A.
Vinci
chosen
Vinci is a small Tuscan town in Italy best known as the birthplace of Renaissance polymath Leonardo da Vinci.
-
B.
Vinci
Vinci is a major French concessions and construction company and one of the largest infrastructure and engineering groups in the world.
-
C.
Leonardi
Leonardi is an Italian surname borne by various notable individuals in fields such as film, sports, and the arts.
-
D.
Vinci Da
Vinci Da is a Bengali psychological thriller film directed by Srijit Mukherji, centered on a make-up artist drawn into a series of morally complex crimes.
-
E.
Sesto Fiorentino
Sesto Fiorentino is a town in the Metropolitan City of Florence in Tuscany, central Italy, known for its historical center and traditional ceramics industry.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ed7e8c8190974f2eb31a0a3106 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:31 p.m.