Triple
T22326898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strømmens Værksted |
E551923
|
entity |
| Predicate | mergedInto |
P77
|
FINISHED |
| Object | Strømmens Verksted A/S |
—
|
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: Strømmens Verksted A/S | Statement: [Strømmens Værksted, mergedInto, Strømmens Verksted A/S]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strømmens Verksted A/S Context triple: [Strømmens Værksted, mergedInto, Strømmens Verksted A/S]
-
A.
Marcussen & Søn
Marcussen & Søn is a renowned Danish firm celebrated for crafting high-quality pipe organs for churches and concert halls worldwide.
-
B.
Kirkbi A/S
Kirkbi A/S is the privately held investment and holding company of the Kirk Kristiansen family, best known as the controlling owner of the LEGO Group and related assets.
-
C.
Wahlström & Widstrand
Wahlström & Widstrand is a prominent Swedish publishing house known for literary fiction and non-fiction, and is part of the Bonnier media conglomerate.
-
D.
Scala A/S
Scala A/S is a company known for developing specialized measurement and control instruments, including the Scala MM400.
-
E.
Strømmens Værksted
chosen
Strømmens Værksted was a Norwegian industrial company best known for producing railway rolling stock and trams.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157693460819087c165481eb9e128 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.