Triple
T19332470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CC-150 Polaris |
E483529
|
entity |
| Predicate | registrationOrigin |
P135448
|
FINISHED |
| Object | former civilian Airbus A310 airliners |
—
|
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: former civilian Airbus A310 airliners | Statement: [CC-150 Polaris, registrationOrigin, former civilian Airbus A310 airliners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: registrationOrigin Context triple: [CC-150 Polaris, registrationOrigin, former civilian Airbus A310 airliners]
-
A.
originSite
Indicates the place or site from which something or someone originally comes or is derived.
-
B.
originalWebsite
Indicates that one entity is the original or primary website from which another entity (such as a copy, mirror, or derivative site) is derived.
-
C.
membershipOrigin
Indicates the source or basis from which an entity’s membership in a group, organization, or category is derived.
-
D.
originAssociatedWith
Indicates a relationship where an entity is connected to, derived from, or influenced by a particular origin, source, or point of beginning.
-
E.
originatesAs
Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61642f49c81909226cfd701f7c139 |
completed | April 20, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:33 p.m.