Triple
T22489416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adobe Flex |
E555973
|
entity |
| Predicate | supportsDataBinding |
P148413
|
FINISHED |
| Object | two-way data binding |
—
|
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: two-way data binding | Statement: [Adobe Flex, supportsDataBinding, two-way data binding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDataBinding Context triple: [Adobe Flex, supportsDataBinding, two-way data binding]
-
A.
supportsContextBinding
Indicates that one entity enables or maintains the association of another entity with a specific execution or usage context so that related operations remain correctly bound to that context.
-
B.
supportsDataFrom
Indicates that one entity provides, validates, or underpins the data used or referenced by another entity.
-
C.
supportsLanguageBindingSystem
Indicates that one entity provides mechanisms or infrastructure that enable another entity to create, use, or integrate language bindings for a system or platform.
-
D.
supportsDatabaseConnectivity
Indicates that an entity provides the capability to establish and maintain connections to a database system.
-
E.
supportsAggregation
Indicates that one entity enables or allows another entity to be combined, grouped, or summarized with others through an aggregation operation.
- F. None of above. chosen
Provenance (4 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3f3b4c819092bfe6495c61db46 |
completed | April 29, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:49 p.m.