Triple
T11351064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mud baths of Laghetto di Fanghi |
E268839
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object | Vulcano Porto |
E268837
|
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: Vulcano Porto | Statement: [mud baths of Laghetto di Fanghi, isNear, Vulcano Porto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vulcano Porto Context triple: [mud baths of Laghetto di Fanghi, isNear, Vulcano Porto]
-
A.
Vulcano Porto
chosen
Vulcano Porto is the main port town and tourist hub on the island of Vulcano in Italy’s Aeolian archipelago.
-
B.
Portorosso
Portorosso is a picturesque fictional seaside town on the Italian Riviera that serves as the main setting of Pixar’s animated film "Luca."
-
C.
Peniche
Peniche is a coastal Portuguese city renowned for its fishing harbor, historic fortifications, and world-class surfing beaches like Supertubos.
-
D.
Porto Ercole
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.
-
E.
Valença
Valença is a historic municipality in the state of Rio de Janeiro, Brazil, known for its colonial heritage and role in the coffee-producing region of the Sul Fluminense.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea23391c819089e8f9725cb3a0ff |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5439a7ee481908d244f79041b3af6 |
completed | April 19, 2026, 9:05 p.m. |
Created at: April 8, 2026, 9:33 p.m.