Triple
T13538165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkema |
E323313
|
entity |
| Predicate | hasRAndDActivityIn |
P33630
|
FINISHED |
| Object | adhesives innovation |
—
|
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: adhesives innovation | Statement: [Arkema, hasRAndDActivityIn, adhesives innovation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRAndDActivityIn Context triple: [Arkema, hasRAndDActivityIn, adhesives innovation]
-
A.
hasRAndDInvestment
Indicates that an entity allocates resources or funding toward research and development activities.
-
B.
hasResearchActivities
chosen
Indicates that an entity engages in, conducts, or is associated with research-related activities.
-
C.
hasResearchActivityLevel
Indicates the degree or intensity of research-related activity associated with an entity.
-
D.
hasInnovationType
Indicates that an entity is associated with, or classified by, a specific type or category of innovation.
-
E.
hasResearchUse
Indicates that an entity is used for, or associated with, conducting research activities or purposes.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.