Triple
T22646696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitsubishi Aircraft Corporation |
E558981
|
entity |
| Predicate | regulatoryChallenge |
P31131
|
FINISHED |
| Object | FAA certification delays |
—
|
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: FAA certification delays | Statement: [Mitsubishi Aircraft Corporation, regulatoryChallenge, FAA certification delays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatoryChallenge Context triple: [Mitsubishi Aircraft Corporation, regulatoryChallenge, FAA certification delays]
-
A.
regulatoryIssues
chosen
Indicates that there are regulatory concerns, non-compliance, or potential violations associated with the related entity or activity.
-
B.
regulationAtIssue
Indicates that a specific regulation is the subject of concern, dispute, or analysis in the given context.
-
C.
regulatoryResponse
Indicates a reaction, decision, or adjustment made by a regulatory body in response to a particular event, condition, or entity’s behavior.
-
D.
regulationImpact
Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
-
E.
regulatoryEngagement
Indicates a relationship where one party interacts with or responds to regulatory bodies or frameworks, typically through compliance activities, consultations, filings, or other formal communications.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170382ba48190b77692762db43313 |
completed | April 29, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:05 p.m.