Triple
T27602634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saudi football league system |
E700091
|
entity |
| Predicate | professionalStatusTopTier |
P111520
|
FINISHED |
| Object | fully professional |
—
|
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: fully professional | Statement: [Saudi football league system, professionalStatusTopTier, fully professional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalStatusTopTier Context triple: [Saudi football league system, professionalStatusTopTier, fully professional]
-
A.
topTierProfessional
Indicates that an entity is recognized as a highly skilled, elite-level professional within its field or domain.
-
B.
professionalTierInCountry
chosen
Indicates the professional level or tier that an entity holds within the context of a specific country.
-
C.
professionalTiers
Indicates a hierarchical relationship that orders professionals into different levels or tiers based on status, role, or qualification.
-
D.
professionalTiersOrganisedBy
Indicates that professional tiers or levels are structured, arranged, or classified according to the organizing criterion or entity specified.
-
E.
professionalStatusRestriction
Indicates a limitation or condition placed on someone’s professional role, eligibility, or activities.
- 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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 2:08 p.m.