Triple
T8310123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arpinum |
E194569
|
entity |
| Predicate | modernMunicipality |
P11890
|
FINISHED |
| Object | Arpino |
E734716
|
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: Arpino | Statement: [Arpinum, modernMunicipality, Arpino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arpino Context triple: [Arpinum, modernMunicipality, Arpino]
-
A.
Arpino
chosen
Arpino is a historic town in central Italy, traditionally known as the birthplace of the Roman statesman Cicero.
-
B.
Minturno
Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
-
C.
Ceccano
Ceccano is a historic town and comune in the Lazio region of central Italy, situated in the Province of Frosinone along the Sacco River.
-
D.
Montecastrilli
Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
-
E.
Sulmona
Sulmona is a historic town in Italy’s Abruzzo region, renowned as the birthplace of the poet Ovid and for its traditional confetti (sugar-coated almonds).
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2d2c30819095075940479b75a7 |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39403b548190aa7460a41b59011b |
completed | April 2, 2026, 9:39 a.m. |
Created at: March 30, 2026, 5:54 p.m.