Triple
T15652536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eventim Apollo |
E376347
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Labatt’s Apollo |
E1169462
|
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: Labatt’s Apollo | Statement: [Eventim Apollo, formerName, Labatt’s Apollo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labatt’s Apollo Context triple: [Eventim Apollo, formerName, Labatt’s Apollo]
-
A.
Labatt’s Apollo
chosen
Labatt’s Apollo was a former sponsored name of the renowned Hammersmith Apollo entertainment venue in London.
-
B.
Labatt Crystal
Labatt Crystal is a Canadian pale lager beer known for its light, crisp taste and long-standing presence in Labatt Brewing Company's lineup.
-
C.
Labatt Ice
Labatt Ice is a Canadian ice-brewed lager known for its smooth, slightly stronger taste and wide availability across North America.
-
D.
Labatt 50
Labatt 50 is a classic Canadian ale, long one of the country’s best-selling and most iconic beers.
-
E.
Labatt Dry
Labatt Dry is a Canadian pale lager beer known for its crisp, clean taste and relatively higher alcohol content, produced by Labatt Brewing Company.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef089948190902ec22f4d7bc932 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ed4d9f88190b7e24bf84c5a916f |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:15 a.m.