Triple
T19735604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enza |
E473969
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Secchia |
—
|
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: Secchia | Statement: [Enza, tributaryOf, Secchia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Secchia Context triple: [Enza, tributaryOf, Secchia]
-
A.
Secchia
chosen
The Secchia is a river in northern Italy that flows through the Emilia-Romagna region and is one of the main tributaries contributing to the Po River system.
-
B.
Rescigno
Rescigno is an Italian surname associated with figures such as conductor Nicola Rescigno, known for his contributions to opera and classical music.
-
C.
Carrù
Carrù is a small town in Italy’s Piedmont region, known as the birthplace of former Italian President Luigi Einaudi and for its wine and truffle traditions.
-
D.
Talamello
Talamello is a small Italian town in the Emilia-Romagna region, known for its historic hilltop setting and production of traditional fossa cheese.
-
E.
Vignale
Vignale is a locality historically associated with the Italian coastal principality centered on Piombino in Tuscany.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515d138c8190a4c4d112ed5756a3 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.