Triple
T3245462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DTrace |
E68056
|
entity |
| Predicate | supportsSpeculativeTracing |
P203
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [DTrace, supportsSpeculativeTracing, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSpeculativeTracing Context triple: [DTrace, supportsSpeculativeTracing, true]
-
A.
usesSparseInstrumentation
Indicates that an entity performs monitoring or data collection with minimal or selectively placed instrumentation rather than comprehensive coverage.
-
B.
hasBeenSpeculatedToBe
Indicates that something has been suggested or hypothesized, without firm evidence, to possibly be or correspond to something else.
-
C.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
D.
supportsExperiment
Indicates that one entity provides the necessary resources, conditions, or assistance for an experiment to be conducted or to function as intended.
-
E.
supportsHardwareRayTracing
Indicates that one entity provides or enables hardware-level ray tracing capabilities for another entity or within a given context.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1a96148190b63bf46209712707 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.