Triple
T32795876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learjet 40 |
E838760
|
entity |
| Predicate | sharesTypeCertificateWith |
P200284
|
FINISHED |
| Object | Learjet 45 |
—
|
NE NERFINISHED |
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: Learjet 45 | Statement: [Learjet 40, sharesTypeCertificateWith, Learjet 45]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesTypeCertificateWith Context triple: [Learjet 40, sharesTypeCertificateWith, Learjet 45]
-
A.
sharesTypeWith
Indicates that two entities belong to the same type or category.
-
B.
sharesType
Indicates that two or more entities have the same type or belong to the same category.
-
C.
sharesNameTypeWith
Indicates that two entities have the same type or category of name (e.g., both are first names, both are surnames, or both are of the same naming convention).
-
D.
sharesAccreditationWith
Indicates that two entities hold the same accreditation or are recognized under an identical accreditation status or scheme.
-
E.
sharesRegistrationWith
Indicates that two or more entities are associated with the same registration identifier or record.
- 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff7eb7189c81909a8f73fbc4c48e02 |
completed | May 9, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69ff7e54e11081908fb5ce10c5aa7b53 |
completed | May 9, 2026, 6:35 p.m. |
| PDg | Predicate description generation | batch_69ff7eb638c48190aeca7b85b9b698ab |
completed | May 9, 2026, 6:36 p.m. |
Created at: May 1, 2026, 1:14 a.m.