Triple
T22009964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casertano |
E543548
|
entity |
| Predicate | hasPluralForm |
P5088
|
FINISHED |
| Object | Casertani |
—
|
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: Casertani | Statement: [Casertano, hasPluralForm, Casertani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casertani Context triple: [Casertano, hasPluralForm, Casertani]
-
A.
Frascatani
Frascatani are the inhabitants or natives of Frascati, a historic town in the Lazio region near Rome, Italy.
-
B.
Casertana
Casertana is an Italian football club based in Caserta, known for its passionate local following and regional rivalries in the lower professional tiers of Italian football.
-
C.
Casertano
chosen
Casertano is the Italian term for a person or thing originating from the city of Caserta in southern Italy.
-
D.
Casertavecchia
Casertavecchia is a well-preserved medieval hilltop village near Caserta in southern Italy, known for its narrow stone streets, ancient cathedral, and panoramic views.
-
E.
Ascolani
Ascolani are the inhabitants or natives of Ascoli Piceno, a historic city in Italy’s Marche region.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a376048190a78ba7efd303b58a |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.