Triple
T21704042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barefoot Marathoner of Rome |
E535727
|
entity |
| Predicate | bearerSport |
P39137
|
FINISHED |
| Object | athletics |
—
|
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: athletics | Statement: [Barefoot Marathoner of Rome, bearerSport, athletics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerSport Context triple: [Barefoot Marathoner of Rome, bearerSport, athletics]
-
A.
tenantSport
Indicates that a tenant participates in or is associated with a particular sport.
-
B.
basedOnSport
Indicates that something is determined, derived, or organized according to a particular sport or sporting activity.
-
C.
parentSport
Indicates that one sport is the broader or more general category from which another sport is derived or classified.
-
D.
basedInSport
chosen
Indicates that an entity (such as a team, organization, or person) is primarily associated with or operates within a particular sport.
-
E.
multiSport
Indicates that an entity participates in, is associated with, or is designed for more than one sport.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b82901c81909de242c920fbc164 |
completed | April 27, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:46 p.m.