Triple
T18171084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Øystre Slidre |
E435024
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Rogne |
—
|
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: Rogne | Statement: [Øystre Slidre, contains, Rogne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rogne Context triple: [Øystre Slidre, contains, Rogne]
-
A.
Rogne
chosen
Rogne is a village in the municipality of Øystre Slidre in Innlandet county, Norway.
-
B.
Rogasen
Rogasen is a locality historically associated with the birthplace of the renowned Talmudic scholar and lexicographer Marcus Jastrow.
-
C.
Rognon
Rognon is a river in northeastern France that flows through the Haute-Marne department and serves as a tributary within the Marne river basin.
-
D.
Rogalin
Rogalin is a historic village in west-central Poland renowned for its aristocratic palace complex and ancient oak trees.
-
E.
Rælingen
Rælingen is a municipality in Viken county, Norway, known for its proximity to Oslo and its mix of residential areas, forests, and lakes.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df56190c8190a3644333f9050a10 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.