Triple
T5098170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fosen |
E114916
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Osen |
E442614
|
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: Osen | Statement: [Fosen, contains, Osen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osen Context triple: [Fosen, contains, Osen]
-
A.
Osen
chosen
Osen is a small coastal municipality in Trøndelag county, Norway, known for its rugged coastline, fishing traditions, and scenic natural landscapes.
-
B.
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.
-
C.
Oxenberg
Oxenberg is a surname most prominently associated with actress Catherine Oxenberg, known for her role on the television series "Dynasty" and her ties to European royalty.
-
D.
Asenie
Asenie is one of the traditional matrilineal clans of the Akan people of West Africa, associated with shared ancestry, identity, and social obligations.
-
E.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7567d21081909227ed8f08b74c71 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba8529ec8190bb1e97eb1044c899 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.