Triple
T1305502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RYR |
E27866
|
entity |
| Predicate | airlineNationality |
P12358
|
FINISHED |
| Object | Irish |
—
|
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: Irish | Statement: [RYR, airlineNationality, Irish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineNationality Context triple: [RYR, airlineNationality, Irish]
-
A.
airlineType
Indicates the classification or category of an airline based on its operational or service characteristics.
-
B.
nationalAirline
Indicates that an airline serves as the official or primary flag carrier of a particular country.
-
C.
airline
Indicates that an entity operates as a commercial air transport carrier providing flight services between locations.
-
D.
linkedAirlineCountry
chosen
Indicates that there is an association between an airline and a country, such as the country where the airline is based, registered, or primarily operates.
-
E.
pilotNationality
Indicates that a pilot has a specific national affiliation or citizenship.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13524d481909e8f5bb2ab91f6e4 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee8544c8190874efd9bae9bccf9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.