Triple
T35990134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian national short track speed skating team |
E1040819
|
entity |
| Predicate | hasHomeTrainingCountry |
P41472
|
FINISHED |
| Object | Italy |
—
|
NE NERFINISHED |
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: Italy | Statement: [Italian national short track speed skating team, hasHomeTrainingCountry, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeTrainingCountry Context triple: [Italian national short track speed skating team, hasHomeTrainingCountry, Italy]
-
A.
countryOfTraining
chosen
Indicates the country in which an entity received its training or education.
-
B.
hasTrainerNationality
Indicates that the nationality of a trainer is associated with a particular entity (such as a person, team, or athlete).
-
C.
hasHomeCountryFederation
Indicates that an entity is associated with, governed by, or belongs to a specific national federation as its home country authority.
-
D.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
E.
hasHomeCountryLeague
Indicates that an entity (typically a sports team or player) is associated with a specific league that operates in its home country.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: May 3, 2026, 4:07 p.m.