Triple
T12779397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Liri |
E305463
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Cassino |
E161926
|
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: Cassino | Statement: [River Liri, near, Cassino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassino Context triple: [River Liri, near, Cassino]
-
A.
Cassino
chosen
Cassino is a town in central Italy known for its strategic location and the nearby Monte Cassino, site of a historic Benedictine abbey and major World War II battles.
-
B.
Seregno
Seregno is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to Milan.
-
C.
Castel di Sangro
Castel di Sangro is a historic town in Italy’s Abruzzo region, known for its scenic Apennine mountain setting and as the subject of the football book "The Miracle of Castel di Sangro."
-
D.
Coriano
Coriano is a municipality in Italy’s Emilia-Romagna region, known for its rural landscapes, historic center, and proximity to the Adriatic coast.
-
E.
Acerra
Acerra is a historic town and municipality in Italy’s Campania region, situated inland from Naples and known for its ancient origins and industrial-residential character.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5a5680819095dcd491486d23e7 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f685013e0481908db09302a2ced207 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.