Triple
T20538299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seccheto |
E504257
|
entity |
| Predicate | hasNearbyPlace |
P3449
|
FINISHED |
| Object | Fetovaia |
—
|
NE NERFINISHED |
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: Fetovaia | Statement: [Seccheto, hasNearbyPlace, Fetovaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fetovaia Context triple: [Seccheto, hasNearbyPlace, Fetovaia]
-
A.
Fetovaia
chosen
Fetovaia is a small coastal village on the island of Elba in Tuscany, Italy, known for its picturesque sandy beach and clear turquoise waters.
-
B.
Begovaya
Begovaya is a metro station in Saint Petersburg, Russia, serving as a modern terminal stop on one of the city’s metro lines.
-
C.
Vitsa
Vitsa is a traditional stone-built village in the Zagori region of Epirus, northwestern Greece, known for its preserved architecture and scenic mountain setting.
-
D.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
-
E.
Mossovy
Mossovy is a remote, sparsely known northern region in the world of A Song of Ice and Fire, lying beyond the more familiar lands of Westeros and Essos.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a29006008190aa1ee3224c75ff4b |
completed | April 20, 2026, 10:02 p.m. |
Created at: April 16, 2026, 11:37 a.m.