Triple
T6708802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Orta |
E153075
|
entity |
| Predicate | hasTownOnShore |
P969
|
FINISHED |
| Object | Pettenasco |
E613776
|
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: Pettenasco | Statement: [Lake Orta, hasTownOnShore, Pettenasco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pettenasco Context triple: [Lake Orta, hasTownOnShore, Pettenasco]
-
A.
Pettnasco
chosen
Pettnasco is a small Italian town situated on the shores of Lake Orta in the Piedmont region.
-
B.
Petrillo
Petrillo is an Italian-origin surname most notably associated with the fictional character Sophia Petrillo from the television series "The Golden Girls."
-
C.
Petelia
Petelia was an ancient city in southern Italy that served as the principal center of the Bruttian people.
-
D.
Tortorella
Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
-
E.
Priola
Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1049b7c8190a970a165d15b440b |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70af6d1608190887c5d9f94ffe9fa |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 27, 2026, 2:06 p.m.