Triple
T2169893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckley Space Force Base |
E48397
|
entity |
| Predicate | hasRadarOrSensorType |
P17204
|
FINISHED |
| Object | space-based infrared system ground station |
—
|
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: space-based infrared system ground station | Statement: [Buckley Space Force Base, hasRadarOrSensorType, space-based infrared system ground station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRadarOrSensorType Context triple: [Buckley Space Force Base, hasRadarOrSensorType, space-based infrared system ground station]
-
A.
radarType
Indicates the specific category or classification of radar associated with an entity.
-
B.
hasSensor
chosen
Indicates that one entity is equipped with, contains, or uses a particular sensor.
-
C.
radarEquipment
Indicates that one entity is radar equipment used for detecting, tracking, or measuring objects relative to another entity.
-
D.
hasActuatorType
Indicates that an entity is equipped with or uses a specific type or category of actuator.
-
E.
hasNavigationTechnology
Indicates that an entity is equipped with or utilizes a system or technology for determining or guiding its position, route, or movement.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.