Triple
T24224445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flying Scot |
E601552
|
entity |
| Predicate | hasNationalityAssociation |
P33828
|
FINISHED |
| Object | Scottish |
—
|
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: Scottish | Statement: [The Flying Scot, hasNationalityAssociation, Scottish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalityAssociation Context triple: [The Flying Scot, hasNationalityAssociation, Scottish]
-
A.
associatedWithNationality
chosen
Indicates that one entity has a connection or affiliation with the nationality of another entity.
-
B.
hasHomeCountryFootballAssociation
Indicates that an entity is affiliated with or governed by a specific national football association that serves as its home country’s official football governing body.
-
C.
countryOfStrongAssociation
Indicates a strong, notable, or primary connection between an entity and a specific country, such as origin, major activity, or significant influence.
-
D.
hasNationalityRecord
Indicates that there exists an official record documenting an entity's nationality or national affiliation.
-
E.
hasParticipantNationality
Indicates that a participant in an event, activity, or relation has a specific nationality.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287ddfecc81909f5396857974bc8c |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, midnight