Triple
T35209465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIN WNT |
E1016632
|
entity |
| Predicate | medalRecordType |
P92082
|
FINISHED |
| Object | World Championship medals |
—
|
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: World Championship medals | Statement: [FIN WNT, medalRecordType, World Championship medals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalRecordType Context triple: [FIN WNT, medalRecordType, World Championship medals]
-
A.
medalType
Indicates the specific category or class of a medal associated with an award or achievement.
-
B.
typeOfMedalEvent
Indicates the specific medal category (e.g., gold, silver, bronze) associated with a particular event.
-
C.
typeOfMedalist
Indicates the specific category or rank of medal (e.g., gold, silver, bronze) associated with a given medalist.
-
D.
medalTypesAwarded
chosen
Indicates the specific types or categories of medals that have been awarded in a given awarding event or context.
-
E.
medalRecordContext
Indicates the contextual circumstances or conditions under which a medal record is established, interpreted, or applied.
- 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.