Triple
T13106169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OCSE (FAS) |
E310847
|
entity |
| Predicate | supportsMissionArea |
P108087
|
FINISHED |
| Object | federal acquisition |
—
|
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: federal acquisition | Statement: [OCSE (FAS), supportsMissionArea, federal acquisition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMissionArea Context triple: [OCSE (FAS), supportsMissionArea, federal acquisition]
-
A.
supportsMissionType
Indicates that one entity is capable of handling, enabling, or being compatible with a specified type of mission.
-
B.
supportsPolicyArea
Indicates that one entity endorses, advocates for, or is in favor of a particular policy area or domain of public policy.
-
C.
supportsTechnologyArea
Indicates that one entity provides backing, resources, or endorsement for a particular technology area associated with another entity.
-
D.
supportsMissionPhase
Indicates that one entity provides the necessary capabilities, resources, or conditions for another entity to function or be valid during a specific mission phase.
-
E.
supportArea
Indicates that one entity serves as a supporting region or surface that provides structural or functional backing for 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98154c9f48190aeca779d97151759 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:05 p.m.