Triple
T10328868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CountQueuingStrategy |
E242827
|
entity |
| Predicate | isSerializable |
P93435
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [CountQueuingStrategy, isSerializable, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSerializable Context triple: [CountQueuingStrategy, isSerializable, false]
-
A.
hasSerialization
Indicates that one entity is represented, encoded, or stored as a serialized form in another entity.
-
B.
serializedIn
Indicates that something is published or presented in sequential installments within a larger medium or series.
-
C.
isExportable
Indicates that something can be legally and practically transferred or sent out from one jurisdiction, system, or context to another.
-
D.
hasSerializationName
Indicates that an entity is associated with a specific name or label used when it is serialized (e.g., in data formats or external representations).
-
E.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
- F. None of above. chosen
Provenance (4 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:52 a.m.