Triple
T22463226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVEVA |
E555281
|
entity |
| Predicate | offersProduct |
P10882
|
FINISHED |
| Object | AVEVA MES |
—
|
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: AVEVA MES | Statement: [AVEVA, offersProduct, AVEVA MES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVEVA MES Context triple: [AVEVA, offersProduct, AVEVA MES]
-
A.
AVEVA
chosen
AVEVA is a global industrial software company known for its engineering and operations solutions for industries such as energy, manufacturing, and infrastructure.
-
B.
Aveksa
Aveksa is an identity and access management company, known for its governance and lifecycle solutions, that was acquired and rebranded by RSA.
-
C.
Siemens Avanto
Siemens Avanto is a family of light rail and tram-train vehicles developed by Siemens for urban and regional public transport systems.
-
D.
Qualitrol
Qualitrol is a company that specializes in condition monitoring and protection solutions for electrical power equipment and grid assets.
-
E.
Koch Engineered Solutions
Koch Engineered Solutions is an industrial technology and engineering company that provides process, pollution control, and optimization solutions across energy, chemical, and manufacturing sectors.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b819d24819084e9b1a7c596345a |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.