Triple
T23282898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal International Air Tattoo |
E588913
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | RIAT |
—
|
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: RIAT | Statement: [Royal International Air Tattoo, hasNickname, RIAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RIAT Context triple: [Royal International Air Tattoo, hasNickname, RIAT]
-
A.
RIAT
chosen
RIAT is one of the world’s largest military airshows, held annually in the UK and renowned for its extensive displays of international aircraft and aerobatic teams.
-
B.
RJA
RJA is the ICAO airline designator used for Royal Jordanian, the flag carrier airline of Jordan.
-
C.
RA I
RA I is the World Meteorological Organization’s Regional Association for Africa, coordinating meteorological and hydrological activities across the African continent.
-
D.
IATAS
IATAS is the acronym for the International Academy of Television Arts & Sciences, the organization best known for presenting the International Emmy Awards.
-
E.
LIAT
LIAT is a regional airline based in the Caribbean that operates short-haul flights connecting numerous islands across the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196447a748190bd797ec9baa63fc3 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:58 p.m.