Triple
T35209461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIN WNT |
E1016632
|
entity |
| Predicate | isFrequentMedalContender |
P97465
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [FIN WNT, isFrequentMedalContender, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentMedalContender Context triple: [FIN WNT, isFrequentMedalContender, true]
-
A.
isFrequentAmong
Indicates that something occurs with relatively high frequency within a specified group or set.
-
B.
hasMedalCount
Indicates the relationship between an entity and the number of medals it possesses or has been awarded.
-
C.
regularMedalContenderIn
chosen
Indicates that an entity is consistently considered a strong candidate to win medals in a specified competition or event.
-
D.
hasMedalEquivalent
Indicates that one medal is considered equivalent in value, status, or recognition to another medal.
-
E.
isPerennialChampionshipContender
Indicates that an entity (typically a team or competitor) consistently ranks among the top contenders for a championship over multiple seasons or years.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.