Triple
T34146780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Paul |
E875879
|
entity |
| Predicate | athleticActivity |
P17882
|
FINISHED |
| Object | triathlon |
—
|
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: triathlon | Statement: [Alexandra Paul, athleticActivity, triathlon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: athleticActivity Context triple: [Alexandra Paul, athleticActivity, triathlon]
-
A.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
-
B.
isAthletic
Indicates that an entity possesses physical fitness, strength, agility, or endurance characteristic of athletic ability.
-
C.
sportsInvolvement
chosen
Indicates the nature or extent of an entity’s participation in, association with, or role within a sport or sporting activity.
-
D.
multiSport
Indicates that an entity participates in, is associated with, or is designed for more than one sport.
-
E.
sportEventType
Indicates the specific kind or category of sport associated with a given sporting event.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.