Triple
T10328865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CountQueuingStrategy |
E242827
|
entity |
| Predicate | highWaterMarkRole |
P93434
|
FINISHED |
| Object | maximum desired queue size in chunks |
—
|
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: maximum desired queue size in chunks | Statement: [CountQueuingStrategy, highWaterMarkRole, maximum desired queue size in chunks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highWaterMarkRole Context triple: [CountQueuingStrategy, highWaterMarkRole, maximum desired queue size in chunks]
-
A.
highWaterMarkLocation
Indicates the specific place where the highest level reached by water is or was observed.
-
B.
higherFormationRole
Indicates that an entity serves in a specific role or function within a larger, higher-level organizational formation.
-
C.
hasWaterControlRole
Indicates that an entity holds a role or responsibility related to managing, regulating, or overseeing water resources or water systems.
-
D.
capitalRoleUntil
Indicates that an entity served in the role of capital of another entity up to (but not necessarily including) a specified end time.
-
E.
higherRankDescription
Indicates that one entity holds a superior or more senior rank or status compared to 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.