Triple
T2987135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team Strømmen |
E80652
|
entity |
| Predicate | hasNationalityOfPlayers |
P41787
|
FINISHED |
| Object | Norwegian |
—
|
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: Norwegian | Statement: [Team Strømmen, hasNationalityOfPlayers, Norwegian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalityOfPlayers Context triple: [Team Strømmen, hasNationalityOfPlayers, Norwegian]
-
A.
countryOfPlayer
chosen
Indicates the country with which a given player is associated, such as their nationality or the nation they represent.
-
B.
associatedWithNationalTeam
Indicates that an entity has a formal connection or involvement with a specific national team, such as playing for, coaching, or otherwise being officially linked to it.
-
C.
homeCountryFIFA_code
Indicates the FIFA country code that represents the national association or home country with which an entity is affiliated.
-
D.
nationalityRepresented
Indicates the country or nation that an entity officially represents, typically in a professional, competitive, or diplomatic capacity.
-
E.
previousNationalTeamEntity
Indicates that an entity previously represented a particular national team before its current or later affiliation.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c88f608190bf734e0b744bf3d1 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.