Triple
T22776183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rennebu |
E563705
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Orkla |
—
|
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: Orkla | Statement: [Rennebu, hasRiver, Orkla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orkla Context triple: [Rennebu, hasRiver, Orkla]
-
A.
Orkla
Orkla is a leading Norwegian conglomerate primarily focused on branded consumer goods, with significant operations across the Nordic and Baltic regions and parts of Central Europe and India.
-
B.
Orkla
chosen
Orkla is a major river in Trøndelag county, Norway, known for its scenic valley and renowned salmon fishing.
-
C.
Norse Atlantic ASA
Norse Atlantic ASA is a Norwegian aviation company that owns and operates the low-cost long-haul carrier Norse Atlantic Airways, focusing primarily on transatlantic routes.
-
D.
Borregaard
Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
-
E.
Kvaerner
Kvaerner is a Norwegian engineering and construction company historically prominent in the shipbuilding and offshore oil and gas industries.
- 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.