Triple
T14613576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAL |
E343020
|
entity |
| Predicate | representsCompanyType |
P115050
|
FINISHED |
| Object | major U.S. airline |
—
|
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: major U.S. airline | Statement: [CAL, representsCompanyType, major U.S. airline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsCompanyType Context triple: [CAL, representsCompanyType, major U.S. airline]
-
A.
backedCompanyType
Indicates the type or category of company that is being financially supported or invested in by another party.
-
B.
underlyingCompanyType
Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
-
C.
publicCompany
Indicates that a company is publicly traded, meaning its ownership shares are available to the general public on one or more stock exchanges.
-
D.
relatedCompanyType
Indicates the type or nature of the relationship that one company has to another company.
-
E.
productionCompanyType
Indicates the specific category or kind of production company associated with a given 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb45264988190a1df13e8b54a85bd |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:25 a.m.