Triple
T27735716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ThreadLocal<T> |
E697522
|
entity |
| Predicate | valueInitialization |
P138322
|
FINISHED |
| Object | supports lazy initialization per thread |
—
|
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: supports lazy initialization per thread | Statement: [ThreadLocal<T>, valueInitialization, supports lazy initialization per thread]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueInitialization Context triple: [ThreadLocal<T>, valueInitialization, supports lazy initialization per thread]
-
A.
initializer
chosen
Indicates the entity that sets up or prepares another entity, process, or structure for its initial state or first use.
-
B.
value
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
C.
defaultValue
Indicates that one entity serves as the pre-assigned or fallback value automatically used for another entity when no explicit value is provided.
-
D.
valueDefinedBy
Indicates that the value of one entity is determined, specified, or constrained by another entity.
-
E.
valueExample
Indicates that something is provided as an illustrative or sample instance of a particular value.
- 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_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 3:12 p.m.