Triple
T36668549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 27th Special Operations Maintenance Group |
E905339
|
entity |
| Predicate | typeOfOperationsSupported |
P819
|
FINISHED |
| Object | special operations |
—
|
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: special operations | Statement: [27th Special Operations Maintenance Group, typeOfOperationsSupported, special operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOperationsSupported Context triple: [27th Special Operations Maintenance Group, typeOfOperationsSupported, special operations]
-
A.
supportsOperationsIn
Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
-
B.
supportsOperationsWith
Indicates that one entity enables, facilitates, or is compatible with the execution of operations involving another entity.
-
C.
operationSupported
Indicates that a particular operation is available and can be performed or handled by a given entity or system.
-
D.
typeOfOperation
chosen
Indicates the specific kind or category of operation being performed or referenced in a given context.
-
E.
operationType
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
- 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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a031c6c728c81909c1d010048df71c3 |
completed | May 12, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_6a031bfc3b74819098c551096b1fcf00 |
completed | May 12, 2026, 12:24 p.m. |
Created at: May 3, 2026, 4:12 p.m.