Triple
T3774060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatar Stars League |
E83263
|
entity |
| Predicate | attractsInternationalPlayers |
P21278
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Qatar Stars League, attractsInternationalPlayers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attractsInternationalPlayers Context triple: [Qatar Stars League, attractsInternationalPlayers, yes]
-
A.
producedInternationalPlayers
Indicates that an entity has developed or trained players who went on to represent their country at the international level.
-
B.
allowsForeignPlayers
chosen
Indicates that an entity permits participation or involvement by players who are from foreign countries or outside its primary jurisdiction.
-
C.
attractedImmigrantsFrom
Indicates that a place or entity drew or pulled immigrants originating from another place.
-
D.
attractsCompetitorsFrom
Indicates that one entity draws or lures competitors away from another entity or location.
-
E.
attracts
Indicates that one entity exerts a force or influence that draws another entity toward it.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc594c50819099ab5ac1b82f61a6 |
completed | March 8, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:36 p.m.