Triple
T22367882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia national beach soccer team |
E552955
|
entity |
| Predicate | internationalRecord |
P147384
|
FINISHED |
| Object | consistently strong |
—
|
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: consistently strong | Statement: [Russia national beach soccer team, internationalRecord, consistently strong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internationalRecord Context triple: [Russia national beach soccer team, internationalRecord, consistently strong]
-
A.
isAllTimeRecordHolderFor
Indicates that an entity holds the highest or best performance record of all time for a particular category, event, or metric.
-
B.
worldRecordSet
Indicates that an entity has achieved and established the best performance ever recorded in the world for a particular activity, event, or measurable criterion.
-
C.
previousRecordHolder
Indicates that one entity was the former holder of a particular record before another entity surpassed or replaced it.
-
D.
worldRecordCount
Indicates the number of world records associated with a given entity.
-
E.
competitiveRecord
Indicates the win–loss (and possibly tie) outcomes between entities that have competed against each other.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158017400819094ebf7f91c26a724 |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342e9a0081909257210a81c96b29 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:44 p.m.