Triple
T20199768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comune di Certaldo |
E493181
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Comune di Certaldo |
—
|
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: Comune di Certaldo | Statement: [Comune di Certaldo, officialName, Comune di Certaldo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comune di Certaldo Context triple: [Comune di Certaldo, officialName, Comune di Certaldo]
-
A.
Comune di Certaldo
chosen
Comune di Certaldo is the municipal government authority responsible for administering the town of Certaldo in Tuscany, Italy.
-
B.
Comune di Volterra
Comune di Volterra is the municipal government authority responsible for administering the historic Tuscan hill town of Volterra in central Italy.
-
C.
Comune di San Gimignano
Comune di San Gimignano is the municipal government responsible for administering the historic Tuscan town of San Gimignano in Italy.
-
D.
Comune di Prato
Comune di Prato is the municipal government authority responsible for administering the city of Prato in Tuscany, Italy.
-
E.
Comune di Siena
Comune di Siena is the municipal government authority responsible for administering the city of Siena in Tuscany, Italy.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8c0eac81908ffdf72d71d2e5d2 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.