Triple
T21101303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C3.ai |
E519909
|
entity |
| Predicate | offers |
P178
|
FINISHED |
| Object | C3 AI Applications |
—
|
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: C3 AI Applications | Statement: [C3.ai, offers, C3 AI Applications]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C3 AI Applications Context triple: [C3.ai, offers, C3 AI Applications]
-
A.
C3.ai
chosen
C3.ai is an enterprise artificial intelligence software company that provides a platform and applications for developing, deploying, and operating large-scale AI, predictive analytics, and IoT solutions for businesses and governments.
-
B.
Palantir Foundry
Palantir Foundry is a data integration and analytics platform that enables organizations to unify, model, and operationalize their data for decision-making and complex workflows.
-
C.
Palantir Apollo
Palantir Apollo is Palantir Technologies’ continuous delivery and deployment platform designed to manage and update complex software across diverse, distributed environments.
-
D.
IBM watsonx.data
IBM watsonx.data is a cloud-native data store and lakehouse platform designed to efficiently manage, govern, and analyze large volumes of structured and unstructured data for AI and analytics workloads.
-
E.
Adobe Sensei AI platform
Adobe Sensei AI platform is Adobe’s artificial intelligence and machine learning framework that powers intelligent features across its creative and experience products, enabling automated, context-aware tools for tasks like image editing, personalization, and content optimization.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5e16cc81908257ccf8c9a59117 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.