Triple
T9187685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scala MM400 |
E220499
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Scala A/S
Scala A/S is a company known for developing specialized measurement and control instruments, including the Scala MM400.
|
E784418
|
NE FINISHED |
How this triple was built (4 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: Scala A/S | Statement: [Scala MM400, developer, Scala A/S]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scala A/S Context triple: [Scala MM400, developer, Scala A/S]
-
A.
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.
-
B.
Tivoli A/S
Tivoli A/S is the Danish company that owns and manages Copenhagen’s historic Tivoli Gardens amusement park and related entertainment and hospitality operations.
-
C.
Marcussen & Søn
Marcussen & Søn is a renowned Danish firm celebrated for crafting high-quality pipe organs for churches and concert halls worldwide.
-
D.
Intility AS
Intility AS is a Norwegian IT company that provides cloud-based platform and infrastructure services to businesses.
-
E.
Aunus Group
The Aunus Group was a Finnish military formation that operated on the eastern front during World War II, particularly in the region of East Karelia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Scala A/S Triple: [Scala MM400, developer, Scala A/S]
Generated description
Scala A/S is a company known for developing specialized measurement and control instruments, including the Scala MM400.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scala A/S Target entity description: Scala A/S is a company known for developing specialized measurement and control instruments, including the Scala MM400.
-
A.
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.
-
B.
Tivoli A/S
Tivoli A/S is the Danish company that owns and manages Copenhagen’s historic Tivoli Gardens amusement park and related entertainment and hospitality operations.
-
C.
Marcussen & Søn
Marcussen & Søn is a renowned Danish firm celebrated for crafting high-quality pipe organs for churches and concert halls worldwide.
-
D.
Intility AS
Intility AS is a Norwegian IT company that provides cloud-based platform and infrastructure services to businesses.
-
E.
Aunus Group
The Aunus Group was a Finnish military formation that operated on the eastern front during World War II, particularly in the region of East Karelia.
- F. None of above. chosen
Provenance (5 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31bd6f88190b2ea644420995e41 |
completed | April 1, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c226bc881909609da0bfbd4748e |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d060881c908190b22d06eaf9f8b192 |
completed | April 4, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0611e76988190be93d1d3dd8f1ab1 |
completed | April 4, 2026, 12:53 a.m. |
Created at: March 30, 2026, 7:24 p.m.