Triple
T33133510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NROL-44 |
E847937
|
entity |
| Predicate | missionDetails |
P83030
|
FINISHED |
| Object | classified |
—
|
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: classified | Statement: [NROL-44, missionDetails, classified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionDetails Context triple: [NROL-44, missionDetails, classified]
-
A.
missionDetail
chosen
Indicates a detailed specification or description associated with a particular mission, such as its objectives, parameters, or contextual information.
-
B.
missionName
Indicates the designated title or label assigned to a specific mission or operation.
-
C.
missionID
Indicates a unique identifier that associates an entity with a specific mission or operation.
-
D.
missionNumber
Indicates the identifying number assigned to a specific mission within a sequence or set of missions.
-
E.
missionTypeSupport
Indicates that one entity provides support or assistance to another within the context of a specific mission or operation.
- 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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:27 a.m.