Triple
T3847714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Phelps won eight gold medals in swimming |
E85211
|
entity |
| Predicate | hasOlympicSport |
P20507
|
FINISHED |
| Object | aquatics |
—
|
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: aquatics | Statement: [Michael Phelps won eight gold medals in swimming, hasOlympicSport, aquatics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOlympicSport Context triple: [Michael Phelps won eight gold medals in swimming, hasOlympicSport, aquatics]
-
A.
hasOlympicDiscipline
Indicates that an entity (typically a sport) includes or is associated with a specific discipline as recognized in the Olympic Games.
-
B.
OlympicStatus
Indicates that an entity holds a particular status or role in relation to the Olympic Games (e.g., being an Olympic sport, event, athlete, or host).
-
C.
OlympicGoldMedalSport
chosen
Indicates that the subject sport is one in which the object athlete or team has won an Olympic gold medal.
-
D.
hasOlympicFunction
Indicates that an entity serves a specific role, duty, or function within the context of the Olympic Games or Olympic movement.
-
E.
hasOlympicCountry
Indicates that an entity is associated with or represents a specific country in the context of the Olympic Games.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcc8a0481909c35161336bdfbf9 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.