Triple
T4446290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Østfold |
E96296
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Skiptvet |
E245866
|
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: Skiptvet | Statement: [Østfold, contains, Skiptvet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skiptvet Context triple: [Østfold, contains, Skiptvet]
-
A.
Skiptvet
chosen
Skiptvet is a rural municipality in Viken county, southeastern Norway, known for its agricultural landscape and small villages.
-
B.
Sykkylven
Sykkylven is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape and strong furniture manufacturing industry.
-
C.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
D.
Thamerdal
Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
-
E.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d1eba08190899d0a3c1684ce4e |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613850eb88190b689a632b0e2b374 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:32 p.m.