Triple
T528334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ville Peltonen |
E10972
|
entity |
| Predicate | representedByTeam |
P15218
|
FINISHED |
| Object | Finland at international tournaments |
—
|
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: Finland at international tournaments | Statement: [Ville Peltonen, representedByTeam, Finland at international tournaments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedByTeam Context triple: [Ville Peltonen, representedByTeam, Finland at international tournaments]
-
A.
roleAtSportsTeam
Indicates the specific position or function an individual holds within a sports team.
-
B.
playsForTitle
Indicates that an entity performs or competes on behalf of a team, organization, or group under a specific title or designation.
-
C.
memberOfSportsTeamOwned
Indicates that an entity is a member of a sports team that is owned by another specified entity.
-
D.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
E.
associatedTeam
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
- F. None of above. chosen
Provenance (4 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d39b4c81909f265b3501b5ec1d |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f01ac3ec8190a94a05955532c7fa |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f0dcff1881909c18e8c599c150a1 |
completed | Feb. 28, 2026, 1:42 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.