Triple
T21627013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTIA |
E533729
|
entity |
| Predicate | limitationsComparedToGTIA |
P83869
|
FINISHED |
| Object | fewer graphics modes |
—
|
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: fewer graphics modes | Statement: [CTIA, limitationsComparedToGTIA, fewer graphics modes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: limitationsComparedToGTIA Context triple: [CTIA, limitationsComparedToGTIA, fewer graphics modes]
-
A.
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.
-
B.
lessFeatureRichThan
chosen
Indicates that one entity has fewer or less advanced features or capabilities than another entity.
-
C.
operatingSpeedComparedToContemporaries
Indicates how an entity’s operating speed compares relative to other similar entities from the same time period.
-
D.
offersFewerBusinessFocusedFeaturesThan
Indicates that one entity provides a smaller or less comprehensive set of business-oriented features compared to another entity.
-
E.
technologyLevelComparedTo
Indicates how the technological advancement of one entity compares relative to that of another entity.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52141e1c8190a861f4bc7cfcb490 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.