Triple
T36844434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyresö FF |
E910501
|
entity |
| Predicate | employedPlayerFromCountry |
P13494
|
FINISHED |
| Object | Brazil |
—
|
NE NERFINISHED |
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: Brazil | Statement: [Tyresö FF, employedPlayerFromCountry, Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedPlayerFromCountry Context triple: [Tyresö FF, employedPlayerFromCountry, Brazil]
-
A.
playsForNationality
Indicates that an athlete or player represents a particular country or nationality in a sport or competition.
-
B.
eligiblePlayersFrom
Indicates that a set of players qualifies to be selected from a particular source, context, or group based on defined eligibility criteria.
-
C.
featuresPlayersFrom
chosen
Indicates that something (such as a work, event, or production) includes or showcases players originating from a specified source, group, or location.
-
D.
professionalPlayersAllowedFrom
Indicates that professional players are permitted to participate starting from a specified point, such as a date, level, or stage.
-
E.
countryOfPlayer
Indicates the country with which a given player is associated, such as their nationality or the nation they represent.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:13 p.m.