Triple
T10430064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian football pyramid |
E245887
|
entity |
| Predicate | includesAmateurLevels |
P12105
|
FINISHED |
| Object | 3. divisjon and below |
—
|
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: 3. divisjon and below | Statement: [Norwegian football pyramid, includesAmateurLevels, 3. divisjon and below]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesAmateurLevels Context triple: [Norwegian football pyramid, includesAmateurLevels, 3. divisjon and below]
-
A.
hasAmateurLevel
Indicates that an entity possesses an amateur level of skill, experience, or proficiency in a given activity or domain.
-
B.
includesAmateurClubs
chosen
Indicates that something (such as an organization, competition, or structure) contains or encompasses amateur-level clubs as part of it.
-
C.
isAmateur
Indicates that an entity engages in an activity or field on a non-professional, typically unpaid or hobbyist basis.
-
D.
amateurTiers
Indicates a relationship where something is categorized or classified into levels or ranks designated for amateurs.
-
E.
includesSemiProfessionalLeagues
Indicates that the subject entity encompasses or contains semi-professional leagues within its structure or scope.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea62d6448190a7f5b785467824cf |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfbc546881908f312c66ee195f79 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:13 p.m.