Triple
T17431720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ossi |
E423886
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Ossesi |
—
|
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: Ossesi | Statement: [Ossi, hasDemonym, Ossesi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ossesi Context triple: [Ossi, hasDemonym, Ossesi]
-
A.
Ossoli
Ossoli is an Italian surname historically associated with figures such as Angelo Eugene Ossoli and the noble Ossoli family.
-
B.
Ose
Ose is a small village in Bygland municipality in Agder county, southern Norway, known for its scenic location in the Setesdal valley.
-
C.
Oss
Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
-
D.
Oskoo
Oskoo is a town in northwestern Iran situated near the foothills of Mount Sahand, known for its scenic mountainous surroundings and traditional Azerbaijani culture.
-
E.
Ossi
chosen
Ossi is a small town in the Sardinian region of Gallura in Italy, known for its traditional rural character and proximity to important archaeological sites.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490072b48190a39b1ac7bb5eb035 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.