Triple
T23797429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Korean embassies |
E588575
|
entity |
| Predicate | includesRepresentativeOfficeIn |
P68855
|
FINISHED |
| Object | United Nations |
—
|
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 Nations | Statement: [North Korean embassies, includesRepresentativeOfficeIn, United Nations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesRepresentativeOfficeIn Context triple: [North Korean embassies, includesRepresentativeOfficeIn, United Nations]
-
A.
includedOffice
Indicates that one office is contained within, or forms part of, another office or organizational unit.
-
B.
currentRepresentativeOffice
Indicates that an entity currently serves as the official representative office for another entity (such as a government, organization, or company).
-
C.
includesRepresentative
Indicates that one entity contains or encompasses another entity acting as its representative.
-
D.
representsInOffice
Indicates that one entity serves as an official representative of another entity within a specific office, position, or institutional role.
-
E.
hasBranchOffice
chosen
Indicates that one organization maintains a branch office or subsidiary location in another place or entity.
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6ddc2d88190b6124d9fb2695d24 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:50 p.m.