Triple
T855128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Głogów |
E18473
|
entity |
| Predicate | hasSportsClubType |
P19215
|
FINISHED |
| Object | football club |
—
|
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: football club | Statement: [Głogów, hasSportsClubType, football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportsClubType Context triple: [Głogów, hasSportsClubType, football club]
-
A.
refersToClubType
chosen
Indicates that one entity is associated with or designates a particular type or category of club.
-
B.
memberClubsType
Indicates that an entity is associated as a member with clubs of a specified type or category.
-
C.
containsSportsTeam
Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
-
D.
associatedWithTeamSport
Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
-
E.
memberOfSportsTeamOwned
Indicates that an entity is a member of a sports team that is owned by another specified 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac3a48c08190b4677d825fcbfaf9 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa834a588190bca4a0eb83fb3eb6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.