Triple
T28700423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHL player |
E729535
|
entity |
| Predicate | commonNationality |
P78054
|
FINISHED |
| Object | Canadian |
—
|
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: Canadian | Statement: [NHL player, commonNationality, Canadian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonNationality Context triple: [NHL player, commonNationality, Canadian]
-
A.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
B.
nationalityOfPersonReferredTo
chosen
Indicates that one entity is the country or nationality associated with the person referenced by the other entity.
-
C.
commonInCountry
Indicates that something occurs frequently or is widespread within a specified country.
-
D.
nationalityEquivalent
Indicates that two entities have equivalent or corresponding nationalities, treating them as the same for nationality-based reasoning.
-
E.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 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 28, 2026, 5:42 a.m.