Triple
T27134802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Buses |
E681652
|
entity |
| Predicate | rescueeNationality |
P59748
|
FINISHED |
| Object | Danish |
—
|
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: Danish | Statement: [White Buses, rescueeNationality, Danish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rescueeNationality Context triple: [White Buses, rescueeNationality, Danish]
-
A.
countryOfRescueDepicted
Indicates that the referenced work or depiction shows or represents the country in which a rescue takes place.
-
B.
recipientNationality
chosen
Indicates that the recipient in a relationship or transaction has a specified national affiliation or citizenship.
-
C.
exileCountry
Indicates that an entity has been banished from or forced to live outside a specified country.
-
D.
countryOfAsylum
Indicates that one entity serves as the country providing asylum or refuge to another entity.
-
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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62479bbb88190bcad383443cbd638 |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:06 a.m.