Triple
T16231153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ismail Elfath |
E393981
|
entity |
| Predicate | typeOfAthleticsOfficial |
P89725
|
FINISHED |
| Object | soccer referee |
—
|
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: soccer referee | Statement: [Ismail Elfath, typeOfAthleticsOfficial, soccer referee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAthleticsOfficial Context triple: [Ismail Elfath, typeOfAthleticsOfficial, soccer referee]
-
A.
typeOfSportOfficial
chosen
Indicates that one entity serves as the specific role or type of sports official (e.g., referee, umpire, judge) associated with another entity.
-
B.
typeOfAthlete
Indicates that one entity is an athlete and the other specifies the kind or category of athlete they are.
-
C.
typeOfUmpire
Indicates the specific category or role an umpire belongs to within the broader set of umpires.
-
D.
officiatedSport
Indicates that an entity served as an official (e.g., referee, umpire, judge) in the context of a specified sport.
-
E.
athleticsClassification
Indicates the competitive sports category or class assigned to an entity based on defined athletic criteria or rules.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d29fa248190943f4c3f7808908b |
completed | April 17, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.