Triple
T13221542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valnerina |
E314765
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cascia |
E502598
|
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: Cascia | Statement: [Valnerina, contains, Cascia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cascia Context triple: [Valnerina, contains, Cascia]
-
A.
Cascia
chosen
Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
-
B.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
C.
Cavezzo
Cavezzo is a small municipality in the Emilia-Romagna region of northern Italy, known for its agricultural landscape and location in the Po Valley.
-
D.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
E.
Norcino
Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central Italy.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf581508190883033f0c961736a |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b056ae388190803458d8fd0331e9 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:18 p.m.