Triple
T28617047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winsock 1.1 API |
E724294
|
entity |
| Predicate | limitedFeatureComparedTo |
P83869
|
FINISHED |
| Object | Winsock 2.0 API |
—
|
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: Winsock 2.0 API | Statement: [Winsock 1.1 API, limitedFeatureComparedTo, Winsock 2.0 API]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: limitedFeatureComparedTo Context triple: [Winsock 1.1 API, limitedFeatureComparedTo, Winsock 2.0 API]
-
A.
lessFeatureRichThan
chosen
Indicates that one entity has fewer or less advanced features or capabilities than another entity.
-
B.
lacksAdvancedBusinessFeaturesComparedTo
Indicates that one entity does not possess the same level or range of advanced business-related features as the entity it is being compared to.
-
C.
offersFewerBusinessFocusedFeaturesThan
Indicates that one entity provides a smaller or less comprehensive set of business-oriented features compared to another entity.
-
D.
limitedSystemType
Indicates that the system is restricted to a specific subset or category of system types, rather than allowing all possible types.
-
E.
reasonForLimitedAdoption
Indicates the factor or explanation that accounts for why something has not been widely or fully adopted.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:32 a.m.