Triple
T23721838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China and North Korea |
E586165
|
entity |
| Predicate | ChineseMilitaryIntervention |
P85524
|
FINISHED |
| Object | Korean War |
—
|
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: Korean War | Statement: [China and North Korea, ChineseMilitaryIntervention, Korean War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChineseMilitaryIntervention Context triple: [China and North Korea, ChineseMilitaryIntervention, Korean War]
-
A.
militaryInterventionBy
chosen
Indicates a situation where one actor carries out or participates in a military intervention directed toward or within another actor or territory.
-
B.
foreignMilitaryInterventionStart
Indicates the point in time when a foreign state's military forces begin intervening in another state's territory or conflict.
-
C.
involvedStrait
Indicates that the entities are connected through, or have a relationship involving, a particular strait (a narrow body of water).
-
D.
ChinaParticipation
Indicates that China takes part in, contributes to, or is involved in a specified event, activity, or arrangement.
-
E.
wasMilitarized
Indicates that an entity underwent a process of being organized, equipped, or adapted for military use or purposes.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b91177c08190bea6e62ed13e2495 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:02 p.m.