Triple
T17795590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell 505 Jet Ranger X |
E444281
|
entity |
| Predicate | faaCertificationYear |
P128947
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Bell 505 Jet Ranger X, faaCertificationYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faaCertificationYear Context triple: [Bell 505 Jet Ranger X, faaCertificationYear, 2017]
-
A.
lastFlightYear
Indicates the calendar year in which an entity’s most recent flight took place.
-
B.
yearOfFlight
Indicates the specific calendar year in which a particular flight took place or is scheduled to occur.
-
C.
lastCrewedFlightDate
Indicates the calendar date on which an aircraft, spacecraft, or similar vehicle was most recently operated with a human crew onboard.
-
D.
certificationDate
Indicates the date on which an entity was officially certified or granted a formal certification.
-
E.
aviationLicense
Indicates that an entity holds an official authorization or certification to operate aircraft in aviation activities.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fafc2c8190b28e791267c47e3c |
completed | April 19, 2026, 7:44 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:13 a.m.