Triple
T32933789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultan Azlan Shah Cup |
E842471
|
entity |
| Predicate | hasHadNumberOfTeams |
P6986
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Sultan Azlan Shah Cup, hasHadNumberOfTeams, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHadNumberOfTeams Context triple: [Sultan Azlan Shah Cup, hasHadNumberOfTeams, 5]
-
A.
formerNumberOfTeams
Indicates the number of teams that an entity previously had before a change or reorganization.
-
B.
hasNumberOfTeams
chosen
Indicates the quantity of teams associated with or contained by a given entity.
-
C.
hasIndependentTeams
Indicates that an entity possesses or is associated with teams that operate autonomously from other teams or central control.
-
D.
foundedWithNumberOfTeams
Indicates the number of teams involved at the time an organization, league, or competition was founded.
-
E.
numberOfTeamsLater
Indicates that one entity has a greater number of teams than another entity at a later point in time.
- 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_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:20 a.m.