Triple
T15304596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Bataeh Club |
E365865
|
entity |
| Predicate | homeCountryFALevel |
P27783
|
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 Bataeh Club, homeCountryFALevel, top division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeCountryFALevel Context triple: [Al Bataeh Club, homeCountryFALevel, top division]
-
A.
homeCountryFA
Indicates that a foreign agent’s primary or originating country is the specified country.
-
B.
homeCountryRegion
Indicates the country or broader geographic region that is considered the primary home or origin of an entity.
-
C.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
D.
homeCountryLeagueLevel
chosen
Indicates the competitive tier or division level of the league in the subject’s home country with which the subject is associated.
-
E.
homeCountryBoard
Indicates that an entity serves on the board of directors in the entity’s own home country.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.