Triple
T7749021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Pisa |
E175706
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | San Miniato |
E493964
|
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: San Miniato | Statement: [Province of Pisa, containsCity, San Miniato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Miniato Context triple: [Province of Pisa, containsCity, San Miniato]
-
A.
San Miniato
chosen
San Miniato is a historic hilltop town in Tuscany, Italy, known for its medieval architecture and prized white truffles.
-
B.
San Miniato al Monte
San Miniato al Monte is a Romanesque basilica in Florence, Italy, renowned for its striking hilltop position, geometric marble façade, and richly decorated interior.
-
C.
San Gimignano
San Gimignano is a medieval hill town in Tuscany, Italy, renowned for its well-preserved tower houses and historic cityscape.
-
D.
Poggio San Lorenzo
Poggio San Lorenzo is a small Italian municipality in the Lazio region, known for its rural setting and historical hilltop village character.
-
E.
Monterenzio
Monterenzio is a small Italian municipality in the Emilia-Romagna region, known for its hilly landscape and archaeological sites from the Etruscan and Celtic periods.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703affb6c8190adf4723dc1139edf |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e581d4e881908c88d55364a5e014 |
completed | March 29, 2026, 8:40 a.m. |
Created at: March 27, 2026, 4:08 p.m.