Triple
T21509800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People's Volunteer Army |
E530685
|
entity |
| Predicate | firstMajorDeploymentLocation |
P7528
|
FINISHED |
| Object | across the Yalu River into North Korea |
—
|
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: across the Yalu River into North Korea | Statement: [People's Volunteer Army, firstMajorDeploymentLocation, across the Yalu River into North Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorDeploymentLocation Context triple: [People's Volunteer Army, firstMajorDeploymentLocation, across the Yalu River into North Korea]
-
A.
firstLargeDeploymentLocation
chosen
Indicates the location where something (such as a system, product, or technology) was first deployed at large scale.
-
B.
firstMajorProductionLocation
Indicates the location where an entity’s first major production or large-scale manufacturing activity took place.
-
C.
firstLargeDeployment
Indicates that this is the initial instance in which something is deployed at a large or significant scale.
-
D.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
E.
firstDeploymentPlatform
Indicates the platform on which something (such as a product, service, or software) was initially deployed or launched.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:25 p.m.