Triple
T3046555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MON |
E83462
|
entity |
| Predicate | teamCountryCode |
P8317
|
FINISHED |
| Object | CA |
—
|
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: CA | Statement: [MON, teamCountryCode, CA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCountryCode Context triple: [MON, teamCountryCode, CA]
-
A.
countryOfTeam
Indicates that a team is associated with or represents a particular country.
-
B.
team2Country
chosen
Indicates that a given team is associated with or represents a particular country.
-
C.
countryRepresentedBy
Indicates that a particular country is officially represented by a specified person, organization, or entity in a given context.
-
D.
associatedCountryCode
Indicates that there is a relationship linking something to the country identified by the given country code.
-
E.
countryRepresented
Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bab541c8190a17aca26b3dcfae7 |
completed | March 8, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.