Triple
T26627938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niklas Sundström |
E668407
|
entity |
| Predicate | hasSportNumberOfPlayers |
P39629
|
FINISHED |
| Object | skater |
—
|
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: skater | Statement: [Niklas Sundström, hasSportNumberOfPlayers, skater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportNumberOfPlayers Context triple: [Niklas Sundström, hasSportNumberOfPlayers, skater]
-
A.
usesNumberOfPlayersOnFieldPerTeam
Indicates that the relationship specifies or depends on how many players each team has on the field at a given time.
-
B.
sportNumberOfPlayersOnTeam
chosen
Indicates the number of players that make up a single team in a given sport.
-
C.
numberOfSports
Indicates the quantity of distinct sports associated with or involved in a given entity.
-
D.
numberOfPlayersPerTeam
Indicates the quantity of players that are assigned to or allowed on each team in a given context.
-
E.
minimumNumberOnCourt
Indicates the smallest required number of participants that must be present on the court for play or a rule condition to be satisfied.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 27, 2026, 2:23 a.m.