Triple
T24575913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falubaz Zielona Góra |
E608102
|
entity |
| Predicate | hasTeamSportCategory |
P127337
|
FINISHED |
| Object | motorcycle sport |
—
|
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: motorcycle sport | Statement: [Falubaz Zielona Góra, hasTeamSportCategory, motorcycle sport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeamSportCategory Context triple: [Falubaz Zielona Góra, hasTeamSportCategory, motorcycle sport]
-
A.
associatedWithTeamSport
Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
-
B.
containsSportsTeam
Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
-
C.
hasAthleticTeamType
chosen
Indicates that an entity’s athletic team participates in or is classified under a specific type or category of sport or competition.
-
D.
hasCompetitionCategory
Indicates that an entity is associated with a specific category or division within a competition.
-
E.
isInSportSystemOf
Indicates that one entity belongs to, is organized within, or operates under the structure of a particular sport system or sports organizational framework of another entity.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a928896c8190af385755b1418ba6 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.