Triple
T23306180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bisenzio River |
E590440
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Prato |
—
|
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: Prato | Statement: [Bisenzio River, flowsThrough, Prato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prato Context triple: [Bisenzio River, flowsThrough, Prato]
-
A.
Prato
chosen
Prato is a historic Tuscan city in central Italy known for its textile industry, medieval architecture, and cultural heritage.
-
B.
Scandicci
Scandicci is a town in central Italy located just southwest of Florence, known as a residential and industrial area within the Tuscan metropolitan region.
-
C.
Parma
Parma is a historic city in northern Italy renowned for its rich artistic heritage, architecture, and culinary traditions, including Parmigiano Reggiano cheese and Parma ham.
-
D.
Parma
Parma is a suburban city located just southwest of Cleveland in northeastern Ohio, known as one of the largest cities in Cuyahoga County.
-
E.
Bologna
Bologna is a historic city in northern Italy renowned for its medieval architecture, rich culinary tradition, and the University of Bologna, one of the oldest universities in the world.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972737c08190bd011776564c3861 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.