Triple
T37360654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sparta Rotterdam |
E927566
|
entity |
| Predicate | originallyAmateur |
P123931
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Sparta Rotterdam, originallyAmateur, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyAmateur Context triple: [Sparta Rotterdam, originallyAmateur, yes]
-
A.
historicallyAmateurUntil
Indicates that an entity was considered amateur, rather than professional, up to a specified point in time.
-
B.
amateurEquivalent
Indicates that one entity is the non-professional or hobbyist counterpart of another entity in a similar role or activity.
-
C.
isAmateur
Indicates that an entity engages in an activity or field on a non-professional, typically unpaid or hobbyist basis.
-
D.
wasAmateurOrSemiPro
chosen
Indicates that the subject participated in an activity at an amateur or semi-professional level, rather than as a full professional.
-
E.
originallyIn
Indicates that something first appeared, was created, or was initially located within a particular context, source, or place.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.