Triple
T18950127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alliances for Innovation |
E463623
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Knowledge Alliances |
—
|
NE NERFINISHED |
How this triple was built (3 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: Knowledge Alliances | Statement: [Alliances for Innovation, predecessor, Knowledge Alliances]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knowledge Alliances Context triple: [Alliances for Innovation, predecessor, Knowledge Alliances]
-
A.
Knowledge Transfer Partnerships
Knowledge Transfer Partnerships are a UK-wide scheme that links businesses with academic or research institutions to drive innovation and improve competitiveness through collaborative projects.
-
B.
Knowledge Capital
Knowledge Capital is a large-scale innovation and creative hub in Osaka that brings together businesses, researchers, and the public for exhibitions, labs, and collaborative projects.
-
C.
Knowledge Services Group
Knowledge Services Group is a division within the Congressional Research Service that focuses on managing, organizing, and providing access to information and knowledge resources for Congress.
-
D.
Knowledge Corridor
The Knowledge Corridor is a passenger rail route in western Massachusetts and northern Connecticut that serves major educational and research centers along the Connecticut River Valley.
-
E.
alliances for innovation
Alliances for Innovation are Erasmus+ funding actions that support strategic partnerships between higher education institutions, vocational education providers, and businesses to foster innovation, skills development, and cooperation across Europe.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Knowledge Alliances Target entity description: Knowledge Alliances were European higher education–business cooperation projects under the Erasmus+ programme, aimed at fostering innovation, entrepreneurship, and skills development through cross-sector partnerships.
-
A.
Knowledge Transfer Partnerships
Knowledge Transfer Partnerships are a UK-wide scheme that links businesses with academic or research institutions to drive innovation and improve competitiveness through collaborative projects.
-
B.
Knowledge Capital
Knowledge Capital is a large-scale innovation and creative hub in Osaka that brings together businesses, researchers, and the public for exhibitions, labs, and collaborative projects.
-
C.
Knowledge Services Group
Knowledge Services Group is a division within the Congressional Research Service that focuses on managing, organizing, and providing access to information and knowledge resources for Congress.
-
D.
Knowledge Corridor
The Knowledge Corridor is a passenger rail route in western Massachusetts and northern Connecticut that serves major educational and research centers along the Connecticut River Valley.
-
E.
alliances for innovation
chosen
Alliances for Innovation are Erasmus+ funding actions that support strategic partnerships between higher education institutions, vocational education providers, and businesses to foster innovation, skills development, and cooperation across Europe.
- F. None of above.
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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d542b238819089ccd2df279a2f7f |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, noon