Triple
T20864264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irpinia |
E513709
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Mirabella Eclano |
—
|
NE NERFINISHED |
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: Mirabella Eclano | Statement: [Irpinia, hasMajorTown, Mirabella Eclano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirabella Eclano Context triple: [Irpinia, hasMajorTown, Mirabella Eclano]
-
A.
Mirabella Eclano
chosen
Mirabella Eclano is a town and comune in the Campania region of southern Italy, known for its historical roots and archaeological remains from the ancient city of Aeclanum.
-
B.
Mirabella Imbaccari
Mirabella Imbaccari is a small municipality in the Sicilian region of southern Italy, known for its traditional crafts and agricultural production.
-
C.
Angelica Amonte
Angelica Amonte is the central protagonist of the romantic drama film "Passionada," a Portuguese-American widow whose life is transformed when she becomes involved with a charming gambler.
-
D.
Mia Serafino
Mia Serafino is an American actress known for her work in film and television, including roles in independent movies and network sitcoms.
-
E.
Emma Brescia
Emma Brescia was the wife of American poet and novelist Robert Penn Warren.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45e51f08190ac1ff59280ad741b |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:44 p.m.