Triple
T10644965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osona |
E250812
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Olost |
E878085
|
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: Olost | Statement: [Osona, contains, Olost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olost Context triple: [Osona, contains, Olost]
-
A.
Olizon
Olizon was an ancient coastal town in the region of Magnesia in Thessaly, Greece, known from classical sources such as Homer’s Iliad.
-
B.
Olvan
chosen
Olvan is a small municipality in the Berguedà comarca of Catalonia, Spain, known for its rural landscape and historic Romanesque heritage.
-
C.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
D.
Olib
Olib is a small Croatian island in the Adriatic Sea, known for its tranquil atmosphere, clear waters, and traditional Mediterranean village life.
-
E.
Ossoli
Ossoli is an Italian surname historically associated with figures such as Angelo Eugene Ossoli and the noble Ossoli family.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfd04ca88190ac4fffd13c1f33a8 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988530f288190b8150d159f723a74 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:05 p.m.