Triple
T10961163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Hunt racing |
E258975
|
entity |
| Predicate | hasPrestigiousRace |
P96862
|
FINISHED |
| Object | Ryanair Chase |
E681882
|
NE 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: Ryanair Chase | Statement: [National Hunt racing, hasPrestigiousRace, Ryanair Chase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryanair Chase Context triple: [National Hunt racing, hasPrestigiousRace, Ryanair Chase]
-
A.
Ryanair Chase
chosen
Ryanair Chase is a prestigious Grade 1 National Hunt steeplechase run at the Cheltenham Festival in Great Britain, attracting top-class middle-distance chasers.
-
B.
Flynas
Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
-
C.
The Ryan Express
The Ryan Express is the famous nickname of Hall of Fame Major League Baseball pitcher Nolan Ryan, renowned for his overpowering fastball and record-setting strikeout totals.
-
D.
Blue Air
Blue Air is a Romanian low-cost airline that operated scheduled passenger flights across Europe.
-
E.
Ryanair
Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7712bf65c8190b847784d885876fd |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d761d3c48190af8e0aedf96ee99f |
completed | April 18, 2026, 12:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.