Triple
T1657153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicklas Bäckström |
E35824
|
entity |
| Predicate | medalFor |
P30971
|
FINISHED |
| Object | ice hockey at the Winter Olympics |
—
|
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: ice hockey at the Winter Olympics | Statement: [Nicklas Bäckström, medalFor, ice hockey at the Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalFor Context triple: [Nicklas Bäckström, medalFor, ice hockey at the Winter Olympics]
-
A.
medalType
Indicates the specific category or class of a medal associated with an award or achievement.
-
B.
medalAwardedToWinner
Indicates that a medal is given to the entity that has won a competition or contest.
-
C.
includesMedal
Indicates that an entity’s set, collection, or record contains or features a particular medal as one of its elements.
-
D.
bronzeMedalist
Indicates that an entity finished third in a competition or event, earning the bronze medal.
-
E.
awardSymbol
Indicates that one entity serves as the symbolic representation or emblem associated with a particular award given to another entity.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a99a4c3810819089d2dd0e23c8e46b |
completed | March 5, 2026, 2:59 p.m. |
Created at: March 4, 2026, 7:29 p.m.