Triple
T18132155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seljord |
E434038
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Seljordsvatnet |
—
|
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: Seljordsvatnet | Statement: [Seljord, hasBodyOfWater, Seljordsvatnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seljordsvatnet Context triple: [Seljord, hasBodyOfWater, Seljordsvatnet]
-
A.
Seljordsvatnet
chosen
Seljordsvatnet is a lake in Telemark, Norway, famed in folklore for alleged sightings of a serpent-like lake monster known as Selma.
-
B.
Lundevatnet
Lundevatnet is a lake located in the municipality of Gjesdal in Rogaland county, southwestern Norway.
-
C.
Snåsavatnet
Snåsavatnet is one of Norway’s largest lakes, located in Trøndelag county and known for its scenic surroundings and rich freshwater ecosystem.
-
D.
Røssvatnet
Røssvatnet is one of Norway’s largest lakes, located in the northern part of the country and known for its scenic surroundings and hydroelectric significance.
-
E.
Hollandsvatnet
Hollandsvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, western Norway.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf2c68881909dfbe59df15ddccc |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.