Triple
T35290364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SV Kwakel |
E1019203
|
entity |
| Predicate | primary activity |
P101656
|
FINISHED |
| Object | amateur football |
—
|
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: amateur football | Statement: [SV Kwakel, primary activity, amateur football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primary activity Context triple: [SV Kwakel, primary activity, amateur football]
-
A.
primarySectorActivity
chosen
Indicates the main industry or sector in which an entity primarily conducts its activities or operations.
-
B.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
-
C.
primaryExtraction
Indicates that an entity is the main or initial source from which another entity, resource, or substance is obtained or derived.
-
D.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
E.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.