Triple
T27736570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.Reflection.BindingFlags |
E697542
|
entity |
| Predicate | supportsBitwiseCombination |
P167330
|
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: [System.Reflection.BindingFlags, supportsBitwiseCombination, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBitwiseCombination Context triple: [System.Reflection.BindingFlags, supportsBitwiseCombination, true]
-
A.
isCombinableWithBitwiseOr
chosen
Indicates that two values can be validly combined using the bitwise OR operation to produce a meaningful result.
-
B.
allowsCombination
Indicates that one entity permits or supports being combined or used together with another entity.
-
C.
appliedBitwise
Indicates that a bitwise operation has been performed on one value (or set of values) to produce another, using bit-level logical or arithmetic manipulation.
-
D.
isSubtractiveCombination
Indicates that one entity is formed or derived by subtracting one or more components, values, or parts of another entity.
-
E.
isConsideredCombinationOf
Indicates that something is regarded as being formed by or equivalent to a specific combination of other things or components.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ffef812da48190b875a7376b24f92d |
completed | May 10, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69ffedecd580819097851b1473fdd6ed |
completed | May 10, 2026, 2:31 a.m. |
Created at: April 27, 2026, 3:13 p.m.