Triple
T17795589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell 505 Jet Ranger X |
E444281
|
entity |
| Predicate | typeCertificationYear |
P2256
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Bell 505 Jet Ranger X, typeCertificationYear, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeCertificationYear Context triple: [Bell 505 Jet Ranger X, typeCertificationYear, 2016]
-
A.
certificationDate
chosen
Indicates the date on which an entity was officially certified or granted a formal certification.
-
B.
typeOfCertification
Indicates the specific kind or category of certification associated with an entity.
-
C.
accessionYear
Indicates the calendar year in which an item, record, or entity was formally added to or registered within a collection, system, or institution.
-
D.
designationYear
Indicates the year in which something was formally designated, assigned, or given an official status.
-
E.
yearOfIssue
Indicates the specific calendar year in which something (such as a document, publication, or item) was formally issued or released.
- 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_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. |
Created at: April 10, 2026, 10:13 a.m.