Triple
T22776187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rennebu |
E563705
|
entity |
| Predicate | splitFrom |
P909
|
FINISHED |
| Object | Meldal |
—
|
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: Meldal | Statement: [Rennebu, splitFrom, Meldal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meldal Context triple: [Rennebu, splitFrom, Meldal]
-
A.
Meldal
chosen
Meldal was a former municipality in Trøndelag county, Norway, known for its rural communities and historical mining activities before being merged into Orkland.
-
B.
Sagene
Sagene is a central district in Oslo, Norway, known for its historic industrial heritage along the Akerselva river and its mix of old workers’ housing and modern urban development.
-
C.
Ottosdal
Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
-
D.
Ropstad
Ropstad is a Norwegian surname most notably associated with politician Kjell Ingolf Ropstad.
-
E.
Hauge
Hauge is a small village in Bremanger Municipality in Vestland county, Norway, known for its coastal setting amid rugged fjord and mountain landscapes.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b61acf881909d9f54e0966ee3cc |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.