Triple
T16888303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Argentario |
E421595
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Porto Ercole |
E86413
|
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: Porto Ercole | Statement: [Monte Argentario, hasSettlement, Porto Ercole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porto Ercole Context triple: [Monte Argentario, hasSettlement, Porto Ercole]
-
A.
Porto Ercole
chosen
Porto Ercole is a coastal village on Italy’s Monte Argentario peninsula, known as a historic Tuscan port and the place where the painter Caravaggio died.
-
B.
Porto Pino
Porto Pino is a coastal resort village in southern Sardinia, Italy, known for its long white-sand beaches, dunes, and clear turquoise waters.
-
C.
Porto Sant’Elpidio
Porto Sant’Elpidio is a coastal town in Italy’s Marche region, known for its Adriatic beaches, footwear industry, and seaside tourism.
-
D.
Portomaggiore
Portomaggiore is a municipality in Italy’s Emilia-Romagna region known for its agricultural landscape and proximity to the city of Ferrara.
-
E.
Portorosso
Portorosso is a picturesque fictional seaside town on the Italian Riviera that serves as the main setting of Pixar’s animated film "Luca."
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc2f6d081909c76fa2a6b87e083 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2befaa88190ba83dc17aa66b541 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.