Triple
T32713962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JsonbSerializer |
E836470
|
entity |
| Predicate | serializeMethodParameter |
P97142
|
FINISHED |
| Object | T object |
—
|
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: T object | Statement: [JsonbSerializer, serializeMethodParameter, T object]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serializeMethodParameter Context triple: [JsonbSerializer, serializeMethodParameter, T object]
-
A.
serializationStyle
Indicates how data is formatted, structured, and encoded when being converted to or from a serialized representation.
-
B.
serializationAttribute
Indicates that an entity is associated with metadata or properties that control how it is converted to and from a serialized representation.
-
C.
serializationBehavior
Indicates how an entity or its properties are converted to and from a serialized form (such as JSON or XML), including what is included, excluded, or transformed during that process.
-
D.
parametrizes
chosen
Indicates that one entity defines or controls the variable parameters that determine the behavior, form, or configuration of another entity.
-
E.
serializedIn
Indicates that something is published or presented in sequential installments within a larger medium or series.
- 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_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:11 a.m.