Triple
T32713929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JsonGeneratorFactory |
E836469
|
entity |
| Predicate | configurationAffects |
P172133
|
FINISHED |
| Object | JsonGenerator behavior |
—
|
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: JsonGenerator behavior | Statement: [JsonGeneratorFactory, configurationAffects, JsonGenerator behavior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: configurationAffects Context triple: [JsonGeneratorFactory, configurationAffects, JsonGenerator behavior]
-
A.
configurationImpact
chosen
Indicates how a particular configuration or setup influences, alters, or determines the behavior, performance, or outcome of a system or process.
-
B.
areAffectedBy
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
-
C.
configuration
Indicates that one entity specifies or defines the arrangement, setup, or parameter settings under which another entity operates or is structured.
-
D.
appliesToConfiguration
Indicates that something (such as a rule, setting, or operation) is relevant to, affects, or is intended for a particular configuration.
-
E.
affectsProduct
Indicates that one entity has an influence or impact on the state, quality, or outcome of a product.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:11 a.m.