Triple
T14913854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Above and Beyond Award |
E371332
|
entity |
| Predicate | typeOfSupportRecognized |
P30211
|
FINISHED |
| Object | flexible scheduling for military training and deployments |
—
|
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: flexible scheduling for military training and deployments | Statement: [Above and Beyond Award, typeOfSupportRecognized, flexible scheduling for military training and deployments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSupportRecognized Context triple: [Above and Beyond Award, typeOfSupportRecognized, flexible scheduling for military training and deployments]
-
A.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
B.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
C.
hasTypeOfSupport
chosen
Indicates that one entity provides or is associated with a particular kind or category of support in relation to another entity.
-
D.
supportsTestType
Indicates that one entity is capable of handling, executing, or being compatible with a specified type of test.
-
E.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61f1d488190995f847f84d72cdc |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:27 a.m.