Triple
T12949729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivolto Air Base |
E309857
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Rivolto |
E309858
|
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: Rivolto | Statement: [Rivolto Air Base, locatedNear, Rivolto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rivolto Context triple: [Rivolto Air Base, locatedNear, Rivolto]
-
A.
Rivolto
chosen
Rivolto is an Italian Air Force base in northeastern Italy best known as the home of the Frecce Tricolori aerobatic display team.
-
B.
Mottalciata
Mottalciata is a small municipality in the Piedmont region of northern Italy, known as the birthplace of former professional footballer Dario Hübner.
-
C.
Rebel
Rebel is a television drama series starring Katey Sagal as a blue-collar legal advocate inspired by the life and work of activist Erin Brockovich.
-
D.
Rebel
Rebel is a 2012 Indian Telugu-language action film starring Prabhas, known for its high-octane fight sequences and mass entertainment style.
-
E.
Rebel
Rebel is a Kentucky straight bourbon whiskey brand known for its smooth, approachable profile and roots in traditional American whiskey-making.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1dc4c88190ab27b832d6a7c556 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af7790808190826f98e8aff01523 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.