Triple
T2797870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miroslav Klose |
E53080
|
entity |
| Predicate | majorHonor |
P43246
|
FINISHED |
| Object | FIFA World Cup winner 2014 |
—
|
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: FIFA World Cup winner 2014 | Statement: [Miroslav Klose, majorHonor, FIFA World Cup winner 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorHonor Context triple: [Miroslav Klose, majorHonor, FIFA World Cup winner 2014]
-
A.
majorHonourCount
Indicates the number of significant or top-level honors or awards associated with an entity.
-
B.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
C.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
D.
isMajorAward
Indicates that an award is recognized as highly prestigious or of primary importance within its field or context.
-
E.
isMajorAwardIn
Indicates that an award is considered a major or highly significant award within a specified context, such as a field, event, or organization.
- F. None of above. chosen
Provenance (4 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf204148190a53f3f30d645d94c |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:58 p.m.