Triple
T28014686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IPTO |
E707514
|
entity |
| Predicate | fundedProject |
P164007
|
FINISHED |
| Object | interactive computing systems |
—
|
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: interactive computing systems | Statement: [IPTO, fundedProject, interactive computing systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundedProject Context triple: [IPTO, fundedProject, interactive computing systems]
-
A.
fundedProject
chosen
Indicates that a funding entity has provided financial support to a specific project.
-
B.
numberOfProjectsFunded
Indicates the quantity of projects that have received funding from a given source or entity.
-
C.
foundedProject
Indicates that an entity initiated and established a particular project.
-
D.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
E.
publiclyFunded
Indicates that the entity receives financial support from public sources such as government budgets or taxpayer funds.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 8:06 p.m.