Triple
T596288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Nasr SC |
E17389
|
entity |
| Predicate | professionalLeagueLevel |
P10472
|
FINISHED |
| Object | top division |
—
|
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: top division | Statement: [Al Nasr SC, professionalLeagueLevel, top division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalLeagueLevel Context triple: [Al Nasr SC, professionalLeagueLevel, top division]
-
A.
isProfessionalLeague
Indicates that a sports league operates at a professional level, typically involving paid athletes and formal organizational structures.
-
B.
aboveLeague
Indicates that one entity is in a higher league, tier, or competitive level than another.
-
C.
hasProfessionalLeague
Indicates that an entity is associated with or participates in a recognized professional sports league.
-
D.
stateLeague
Indicates that a sports team or club competes in, or is affiliated with, a particular state-level league or competition.
-
E.
leagueType
chosen
Indicates the classification or category of a league within a broader organizational or competitive 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd3e5e08190be95cb2009aad42d |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cfb52c81908d816a4c5579c321 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.