Triple
T25931375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HT Technology |
E653445
|
entity |
| Predicate | benefitDependsOn |
P55857
|
FINISHED |
| Object | operating system scheduler implementation |
—
|
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: operating system scheduler implementation | Statement: [HT Technology, benefitDependsOn, operating system scheduler implementation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitDependsOn Context triple: [HT Technology, benefitDependsOn, operating system scheduler implementation]
-
A.
benefitAppliesTo
Indicates that a particular benefit is applicable to, or valid for, a specified entity or context.
-
B.
hasBenefit
Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
-
C.
benefitAvailableAt
Indicates that a particular benefit can be obtained, accessed, or used at a specified location, time, or context.
-
D.
benefitMode
Indicates the manner or method through which a benefit is provided, received, or realized in the relationship.
-
E.
criterionForBenefits
chosen
Indicates that something serves as a condition or standard that must be met in order for an entity to receive certain benefits.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f604192b6c8190b86e151a628eafd8 |
completed | May 2, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 8:37 a.m.