Triple
T26931286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat McBride |
E678227
|
entity |
| Predicate | country for sport |
P4833
|
FINISHED |
| Object | United States of America |
—
|
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: United States of America | Statement: [Pat McBride, country for sport, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: country for sport Context triple: [Pat McBride, country for sport, United States of America]
-
A.
sportCountry
chosen
Indicates the country with which a given sport, sporting event, or sports organization is associated or primarily linked.
-
B.
laterSportCountry
Indicates that one country’s involvement in a sport occurs at a later time than another country’s involvement in that same sport.
-
C.
sportGoverningBodyCountry
Indicates that a sports governing body is officially associated with or represents a particular country.
-
D.
sportCountryCombination
Indicates a relationship pairing a specific sport with a specific country, typically to represent where that sport is played, represented, or associated.
-
E.
hasNationalSportTeam
Indicates that an entity possesses or is represented by an official national-level sports team.
- 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: April 27, 2026, 6:12 a.m.