Triple
T32933795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultan Azlan Shah Cup |
E842471
|
entity |
| Predicate | countryOfMainVenue |
P69452
|
FINISHED |
| Object | Malaysia |
—
|
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: Malaysia | Statement: [Sultan Azlan Shah Cup, countryOfMainVenue, Malaysia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfMainVenue Context triple: [Sultan Azlan Shah Cup, countryOfMainVenue, Malaysia]
-
A.
countryOfVenue
Indicates the country in which the referenced venue is geographically located.
-
B.
countryOfFinalVenue
Indicates the country in which the final event or venue associated with something (e.g., a competition or series) is located.
-
C.
hostCountryOfContest
Indicates that a country serves as the location where a particular contest or competition is held.
-
D.
countryOfShow
Indicates that a show is associated with, produced in, or originates from a particular country.
-
E.
countryOfTournament
chosen
Indicates the country in which a given tournament is held or officially hosted.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0079e152648190a9da2add94fc1831 |
completed | May 10, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_6a0078f77f9c8190af357a6016a2bd53 |
completed | May 10, 2026, 12:24 p.m. |
Created at: May 1, 2026, 1:20 a.m.