Triple
T4138199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busan Perimeter |
E89207
|
entity |
| Predicate | supplyRole |
P54091
|
FINISHED |
| Object | major UN logistics base |
—
|
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: major UN logistics base | Statement: [Busan Perimeter, supplyRole, major UN logistics base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supplyRole Context triple: [Busan Perimeter, supplyRole, major UN logistics base]
-
A.
supplyType
Indicates the kind or category of supply associated with or provided in a given relationship or context.
-
B.
suppliesTo
Indicates that one entity provides or delivers goods, services, or resources to another entity.
-
C.
supplyChain
Indicates a relationship where one entity participates in providing, transferring, or managing goods, services, or information to another as part of a sequential production and distribution process.
-
D.
providerOf
Indicates that one entity supplies, furnishes, or makes available a good, service, or resource to another entity.
-
E.
supplyCut
Indicates that the normal provision or flow of a resource, product, or service to an entity has been reduced, interrupted, or stopped.
- F. None of above. chosen
Provenance (4 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af018a54848190987f18c066c75068 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af039fb19c8190b20e62a3b3ad25c1 |
completed | March 9, 2026, 5:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.