Triple
T10429413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borregaard |
E245868
|
entity |
| Predicate | hasRAndDFocus |
P34683
|
FINISHED |
| Object | bio-based chemicals |
—
|
LITERAL 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: bio-based chemicals | Statement: [Borregaard, hasRAndDFocus, bio-based chemicals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRAndDFocus Context triple: [Borregaard, hasRAndDFocus, bio-based chemicals]
-
A.
hasRDFocus
Indicates that something has a specific region of interest or focal area within an image, scene, or dataset that is being emphasized or analyzed.
-
B.
hasActingFocus
Indicates that an entity is the primary performer or focal agent carrying out an action in a given context.
-
C.
hasVisualFocus
Indicates that one entity is currently directing its visual attention or gaze toward another entity.
-
D.
hasProgramFocus
chosen
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
E.
hasPrimaryFocus
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
- F. None of above.
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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4b4b5881908ae23f8efeea482b |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:13 p.m.