Triple
T15624495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renata |
E375644
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Volterra, Italy |
E143412
|
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: Volterra, Italy | Statement: [Renata, setting, Volterra, Italy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volterra, Italy Context triple: [Renata, setting, Volterra, Italy]
-
A.
Volterra
chosen
Volterra is an ancient hilltop town in Tuscany, Italy, renowned for its Etruscan origins, medieval architecture, and traditional alabaster craftsmanship.
-
B.
Varano de' Melegari, Italy
Varano de' Melegari is a small town in Italy’s Emilia-Romagna region known for its strong motorsport heritage and as a hub of automotive engineering.
-
C.
Vinadio, Italy
Vinadio, Italy is a small alpine municipality in the Piedmont region near the French border, known for its historic fortifications and mountain landscapes.
-
D.
Montella, Italy
Montella, Italy is a small town in the Campania region of southern Italy, known for its mountainous landscape and traditional chestnut production.
-
E.
Montecarotto, Italy
Montecarotto, Italy is a small hilltop town in the Marche region known for its medieval historic center, wine production, and traditional cultural festivals.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9cfd94819091459aa17a002eaf |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82e73534819095fca1b804d5db58 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:14 a.m.