Triple
T24366795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EUSA Commander |
E614215
|
entity |
| Predicate | hasDutyLocation |
P22344
|
FINISHED |
| Object | Republic of Korea |
—
|
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: Republic of Korea | Statement: [EUSA Commander, hasDutyLocation, Republic of Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDutyLocation Context triple: [EUSA Commander, hasDutyLocation, Republic of Korea]
-
A.
hasDutyStation
chosen
Indicates that an entity (such as a person or position) is assigned to a specific official location where their primary work or duties are performed.
-
B.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
-
C.
hasDutyStatus
Indicates that an entity currently holds a particular duty or operational status in relation to a role, task, or assignment.
-
D.
hasActLocation
Indicates that an action or event occurs at, or is associated with, a specific location.
-
E.
hasPrimaryDuty
Indicates that one entity holds the main or most important responsibility or obligation toward another entity or within a specified context.
- 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_69e2d7e1e010819098b95eb3f905943d |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2938809f081908abf33edb62ed7f8 |
completed | April 29, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:01 a.m.