Triple
T9827946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauge i Dalane |
E238704
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Hauge i Dalane |
E238704
|
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: Hauge i Dalane | Statement: [Hauge i Dalane, hasOfficialName, Hauge i Dalane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hauge i Dalane Context triple: [Hauge i Dalane, hasOfficialName, Hauge i Dalane]
-
A.
Hauge i Dalane
chosen
Hauge i Dalane is a village in Rogaland county, Norway, known as the main settlement of the Sokndal municipality in the Dalane district.
-
B.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
C.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
D.
Nydalen
Nydalen is a modern riverside neighborhood in Oslo, Norway, known for its business district, educational institutions, and redeveloped industrial areas.
-
E.
Gauldalen
Gauldalen is a river valley and traditional district in central Norway known for its agricultural landscape and the Gaula River running through it.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3268fcc8190b7a028f224512e5f |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc8ca2808190a1da0641162f12d1 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:32 p.m.