Triple
T9584566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Avellino |
E231254
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Avellino |
E225371
|
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: Avellino | Statement: [Province of Avellino, capital, Avellino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avellino Context triple: [Province of Avellino, capital, Avellino]
-
A.
Avellino
chosen
Avellino is a city in southern Italy that serves as the capital of the province of the same name in the Campania region.
-
B.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
C.
Sarno
Sarno is a town in Italy’s Campania region, located near Mount Vesuvius and known as an endpoint of the Circumvesuviana railway network.
-
D.
Casertano
Casertano is the Italian term for a person or thing originating from the city of Caserta in southern Italy.
-
E.
Priola
Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99d080c88190a7d3876589d7b864 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1617cd02c8190a1efbeb5bad0e48e |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.