Triple
T3633531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volturi |
E77012
|
entity |
| Predicate | baseOfOperations |
P2591
|
FINISHED |
| Object | Volterra |
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 | Statement: [Volturi, baseOfOperations, Volterra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volterra Context triple: [Volturi, baseOfOperations, Volterra]
-
A.
Volterra
chosen
Volterra is an ancient hilltop town in Tuscany, Italy, renowned for its Etruscan origins, medieval architecture, and traditional alabaster craftsmanship.
-
B.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
-
C.
Civitavecchia
Civitavecchia is a major Italian port city in the Lazio region that serves as the principal maritime gateway to Rome on the Tyrrhenian coast.
-
D.
Lesce
Lesce is a small town in northwestern Slovenia, known for its scenic Alpine surroundings and proximity to the popular tourist destination of Bled.
-
E.
Civitanova Marche
Civitanova Marche is a coastal town and popular seaside resort on the Adriatic Sea in the Marche region of central Italy.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc30457608190840fb5b33f9965c4 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f1af1c48190a72effe80959bfb3 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.