Triple
T20277627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Foce |
E503056
|
entity |
| Predicate | nearbyAttraction |
P3449
|
FINISHED |
| Object | Pienza |
—
|
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: Pienza | Statement: [La Foce, nearbyAttraction, Pienza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pienza Context triple: [La Foce, nearbyAttraction, Pienza]
-
A.
Pienza
chosen
Pienza is a small Renaissance hill town in Tuscany, Italy, renowned for its harmonious urban design and production of pecorino cheese.
-
B.
San Gimignano
San Gimignano is a medieval hill town in Tuscany, Italy, renowned for its well-preserved tower houses and historic cityscape.
-
C.
Borgo San Sepolcro
Borgo San Sepolcro is the historical name of Sansepolcro, a Tuscan town in central Italy renowned as the birthplace of Renaissance painter Piero della Francesca.
-
D.
Castiglione d’Orcia
Castiglione d’Orcia is a historic hilltop village in Tuscany’s Val d’Orcia, Italy, known for its medieval architecture, scenic landscapes, and thermal springs.
-
E.
Buonconvento
Buonconvento is a historic Tuscan village in central Italy, known for its well-preserved medieval architecture and location along the ancient Via Francigena pilgrimage route.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e4cdfc81908c7cb4519a7d744b |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 16, 2026, 10:35 a.m.