Triple
T10163939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arno |
E233959
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Pontedera |
E576981
|
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: Pontedera | Statement: [Arno, flowsThrough, Pontedera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pontedera Context triple: [Arno, flowsThrough, Pontedera]
-
A.
Pontedera
chosen
Pontedera is a town in Tuscany, central Italy, known as an industrial center and the longtime home of the Piaggio (Vespa) manufacturing plant.
-
B.
Viareggio
Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
-
C.
Capannori
Capannori is a municipality in Tuscany, central Italy, known for its agricultural landscape, historic villas, and pioneering zero-waste environmental policies.
-
D.
Lesignano
Lesignano is a locality or subdivision within the municipality of Serravalle in San Marino.
-
E.
Sarzana
Sarzana is a historic town in the Liguria region of northwestern Italy, known for its medieval fortifications and strategic position near the border with Tuscany.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec6a7bb48190952f4318af9cc32b |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d31774617c8190848ad4990fe5801d |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:09 p.m.