Triple
T22605018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Fahd Cup |
E566531
|
entity |
| Predicate | numberOfTeamsPerEdition |
P6986
|
FINISHED |
| Object | 4 to 6 |
—
|
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: 4 to 6 | Statement: [King Fahd Cup, numberOfTeamsPerEdition, 4 to 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsPerEdition Context triple: [King Fahd Cup, numberOfTeamsPerEdition, 4 to 6]
-
A.
hasNumberOfTeams
chosen
Indicates the quantity of teams associated with or contained by a given entity.
-
B.
teamLimitInRecentEditions
Indicates a constraint on the number of teams allowed to participate in the most recent editions of a competition or event.
-
C.
numberOfPlayersPerTeam
Indicates the quantity of players that are assigned to or allowed on each team in a given context.
-
D.
numberOfTeamsVariesByYear
Indicates that the number of teams involved changes depending on the specific year.
-
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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f162709d808190af83837104a190f9 |
completed | April 29, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:53 p.m.