Triple
T24633509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Team of the Year award |
E609741
|
entity |
| Predicate | mediumOfAwardingBody |
P21835
|
FINISHED |
| Object | print magazine |
—
|
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: print magazine | Statement: [National Team of the Year award, mediumOfAwardingBody, print magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfAwardingBody Context triple: [National Team of the Year award, mediumOfAwardingBody, print magazine]
-
A.
awardMedium
Indicates the medium or format through which an award is given, presented, or communicated.
-
B.
hasAwardMedium
chosen
Indicates that an award is associated with a particular medium or format through which it is given or recognized.
-
C.
mediumOfFame
Indicates the medium, field, or domain through which an entity became famous or gained public recognition.
-
D.
mediumOfAdmission
Indicates the method or channel through which an entity is admitted, accepted, or granted entry (e.g., via exam, recommendation, application type).
-
E.
awardBodyType
Indicates the type or classification of the organization or body that grants or issues an award.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.