Triple
T5838495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N571X |
E129533
|
entity |
| Predicate | registrationStatus |
P67483
|
FINISHED |
| Object | assigned to experimental aircraft |
—
|
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: assigned to experimental aircraft | Statement: [N571X, registrationStatus, assigned to experimental aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: registrationStatus Context triple: [N571X, registrationStatus, assigned to experimental aircraft]
-
A.
designationStatus
Indicates the current official classification or standing assigned to an entity within a defined system or process.
-
B.
associationStatus
Indicates the current state or condition of an established association or relationship between entities.
-
C.
agencyStatus
Indicates the current operational or legal condition under which an agency or agent is functioning (e.g., active, inactive, suspended, or terminated).
-
D.
sponsorStatus
Indicates the current state or condition of an entity’s sponsorship relationship, such as whether it is active, pending, or inactive.
-
E.
membershipStatus
Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c044a9c4f0819081b8c196932883f6 |
completed | March 22, 2026, 7:36 p.m. |
Created at: March 22, 2026, 3:54 p.m.