Triple
T7605970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Khaleej Club |
E180104
|
entity |
| Predicate | isInTopTierOf |
P23582
|
FINISHED |
| Object | Saudi football league system |
—
|
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: Saudi football league system | Statement: [Al Khaleej Club, isInTopTierOf, Saudi football league system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInTopTierOf Context triple: [Al Khaleej Club, isInTopTierOf, Saudi football league system]
-
A.
hasUpperTier
Indicates that one entity occupies a higher or superior level, rank, or layer in a hierarchical structure relative to another entity.
-
B.
playsInTopTier
chosen
Indicates that an entity participates as a competitor in the highest-level division or league within a given sport or competitive system.
-
C.
isTopLevelLeagueIn
Indicates that a sports league is the highest (top-tier) competitive level within a specified country or region.
-
D.
topTierUntil
Indicates that an entity holds a top-tier or highest-status position only up to a specified point in time, after which this status no longer applies.
-
E.
isTopTierBenefit
Indicates that a benefit belongs to the highest or most premium level within a defined benefit hierarchy or structure.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fcfcfc8190a29a0b5cd3e8927a |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.