Triple
T10859568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metauro River |
E256362
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Fermignano |
E92599
|
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: Fermignano | Statement: [Metauro River, flowsThrough, Fermignano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fermignano Context triple: [Metauro River, flowsThrough, Fermignano]
-
A.
Fermignano
chosen
Fermignano is a small town in Italy’s Marche region, best known as the birthplace of Renaissance architect and painter Donato Bramante.
-
B.
Cotignola
Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
-
C.
Montevarchi
Montevarchi is a Tuscan town in central Italy known for its historic center, proximity to the Arno River, and role as a commercial and cultural hub in the Valdarno area.
-
D.
Fiamignano
Fiamignano is a small Italian municipality in the Lazio region, known for its mountainous landscape and traditional rural character.
-
E.
Pieve di Cento
Pieve di Cento is a historic town in Italy’s Emilia-Romagna region, known for its well-preserved medieval center and artistic heritage.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75150ceb88190a70356d12ce130c5 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d0403c8190bc0b92197a25d3ee |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.