Triple
T18560294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aust-Telemark |
E453618
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hjartdal |
—
|
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: Hjartdal | Statement: [Aust-Telemark, hasPart, Hjartdal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hjartdal Context triple: [Aust-Telemark, hasPart, Hjartdal]
-
A.
Hjartdal
chosen
Hjartdal is a rural municipality in Vestfold og Telemark county, Norway, known for its mountainous landscape, traditional farming communities, and historic stave church.
-
B.
Ottosdal
Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
-
C.
Heidal
Heidal is a village in Innlandet county, Norway, known for its traditional wooden architecture and scenic location in the Gudbrandsdalen valley.
-
D.
Hauge
Hauge is a small village in Bremanger Municipality in Vestland county, Norway, known for its coastal setting amid rugged fjord and mountain landscapes.
-
E.
Orkdal
Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538098a148190b0fc7098ce3c62fd |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:42 a.m.