Triple
T22557232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linde process |
E557718
|
entity |
| Predicate | commercializedBy |
P785
|
FINISHED |
| Object | Linde AG |
—
|
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: Linde AG | Statement: [Linde process, commercializedBy, Linde AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linde AG Context triple: [Linde process, commercializedBy, Linde AG]
-
A.
Linde Air Products Company
chosen
Linde Air Products Company is an industrial gas and chemical company historically involved in large-scale production and processing operations, including work related to uranium facilities.
-
B.
Linde
Linde is a given name, often used in Germanic and Scandinavian countries, that is related to or derived from the name Linda.
-
C.
Linde
Linde was the reign era name used by Emperor Gaozong during part of his rule over China’s Tang dynasty.
-
D.
Linde
Linde is a village in the Dutch municipality of De Wolden in the province of Drenthe.
-
E.
Air Liquide
Air Liquide is a leading French multinational company specializing in industrial gases and related technologies for industries and healthcare worldwide.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7b06e08190b3ca82a783965942 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.