Triple
T19987129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valdelsa |
E493962
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | San Gimignano |
—
|
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: San Gimignano | Statement: [Valdelsa, containsSettlement, San Gimignano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Gimignano Context triple: [Valdelsa, containsSettlement, San Gimignano]
-
A.
San Gimignano
chosen
San Gimignano is a medieval hill town in Tuscany, Italy, renowned for its well-preserved tower houses and historic cityscape.
-
B.
Pienza
Pienza is a small Renaissance hill town in Tuscany, Italy, renowned for its harmonious urban design and production of pecorino cheese.
-
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.
San Miniato
San Miniato is a historic hilltop town in Tuscany, Italy, known for its medieval architecture and prized white truffles.
-
E.
Poggibonsi
Poggibonsi is a Tuscan town in central Italy known for its medieval history, archaeological sites, and position along historic pilgrimage and trade routes between Florence and Siena.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fdd1a5c8190af756632aac38bf4 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:29 p.m.