Triple
T11265937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AS-204 |
E266684
|
entity |
| Predicate | testPurpose |
P36954
|
FINISHED |
| Object | to test spacecraft systems under flight-like conditions while on the pad |
—
|
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: to test spacecraft systems under flight-like conditions while on the pad | Statement: [AS-204, testPurpose, to test spacecraft systems under flight-like conditions while on the pad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testPurpose Context triple: [AS-204, testPurpose, to test spacecraft systems under flight-like conditions while on the pad]
-
A.
testSeriesPurpose
Indicates that a test series is conducted with the specific purpose or objective of achieving a particular outcome or goal.
-
B.
testObjective
chosen
Indicates that an entity serves as the goal, purpose, or intended outcome of a test or testing activity.
-
C.
tests
Indicates that one entity examines, evaluates, or checks another entity or condition to determine its properties, performance, or correctness.
-
D.
testType
Indicates the specific category or kind of test associated with an entity or event.
-
E.
testPilot
Indicates that an entity serves as a pilot responsible for testing and evaluating aircraft or related flight systems.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94e5e3c8190a31995d55d20d7ed |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.