Triple
T37534407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sándor Puhl |
E933154
|
entity |
| Predicate | numberOfTimesNamedIFFHSWorldBestReferee |
P72438
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Sándor Puhl, numberOfTimesNamedIFFHSWorldBestReferee, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesNamedIFFHSWorldBestReferee Context triple: [Sándor Puhl, numberOfTimesNamedIFFHSWorldBestReferee, 4]
-
A.
numberOfTimesNamedIFFHSWorldsBestReferee
chosen
Indicates how many times an individual has been awarded the IFFHS World’s Best Referee title.
-
B.
FIFARefereeSince
Indicates that an individual has held official FIFA referee status starting from a specified date or year.
-
C.
numberOfTimesNamedGermanRefereeOfTheYear
Indicates how many times an individual has been awarded the title "German Referee of the Year."
-
D.
fifaWorldCupFinalReferee
Indicates that the subject served as the main referee in the final match of a FIFA World Cup tournament for the object.
-
E.
FIFARefereeUntil
Indicates that an individual served as a FIFA-recognized referee up to and including a specified end date.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.