Triple
T8342888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norway U20 |
E195963
|
entity |
| Predicate | kitSport |
P22553
|
FINISHED |
| Object | football kit |
—
|
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 kit | Statement: [Norway U20, kitSport, football kit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kitSport Context triple: [Norway U20, kitSport, football kit]
-
A.
kitType
chosen
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
B.
tenantSport
Indicates that a tenant participates in or is associated with a particular sport.
-
C.
usedSportFor
Indicates that an entity employs or utilizes a particular sport as a means, tool, or context for achieving some purpose or performing an activity.
-
D.
includesSport
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
E.
multiSport
Indicates that an entity participates in, is associated with, or is designed for more than one sport.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7febde288190bf4677fb24d26b83 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:58 p.m.