Triple
T17370026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rjukan |
E422285
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Norsk Hydro |
E500185
|
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: Norsk Hydro | Statement: [Rjukan, developedBy, Norsk Hydro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norsk Hydro Context triple: [Rjukan, developedBy, Norsk Hydro]
-
A.
Norsk Hydro (historically)
chosen
Norsk Hydro is a Norwegian industrial company historically known for pioneering large-scale hydroelectric-powered fertilizer production and playing a central role in the early industrial development of towns like Notodden.
-
B.
Aker ASA
Aker ASA is a Norwegian industrial investment company with major holdings in sectors such as energy, maritime assets, and marine biotechnology.
-
C.
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.
-
D.
Orkla
Orkla is a major river in Trøndelag county, Norway, known for its scenic valley and renowned salmon fishing.
-
E.
Nalco Company
Nalco Company is a global water treatment and process improvement firm known for producing industrial chemicals, including the oil spill dispersant Corexit 9500A.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6842388190940235198fa50041 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019566da6c819083b59e0911d02bd5 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.