Triple
T24585127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EC-121 Warning Star |
E608363
|
entity |
| Predicate | airlineLineage |
P156449
|
FINISHED |
| Object | derived from civilian airliner design |
—
|
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: derived from civilian airliner design | Statement: [EC-121 Warning Star, airlineLineage, derived from civilian airliner design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineLineage Context triple: [EC-121 Warning Star, airlineLineage, derived from civilian airliner design]
-
A.
airlineParentCompany
Indicates that one company is the parent or owning company of an airline.
-
B.
airlineFormerName
Indicates that an airline previously operated under a different name, specifying its former official designation.
-
C.
airlineNationalityOfAirline
Indicates the country or nationality with which an airline is associated.
-
D.
airlineFamily
Indicates that two or more airlines are related through a common parent company, brand group, or corporate affiliation.
-
E.
airlineFoundedAs
Indicates that one airline was originally established or created under a particular initial name, structure, or predecessor airline.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a98600888190aa631d2c237af60a |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:29 a.m.