Triple
T15858361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyeryong |
E384517
|
entity |
| Predicate | partOfMilitaryStructure |
P120787
|
FINISHED |
| Object | South Korean national defense infrastructure |
—
|
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: South Korean national defense infrastructure | Statement: [Gyeryong, partOfMilitaryStructure, South Korean national defense infrastructure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfMilitaryStructure Context triple: [Gyeryong, partOfMilitaryStructure, South Korean national defense infrastructure]
-
A.
partOfHistoricalStructure
Indicates that one entity is a component, section, or element belonging to a larger historical structure.
-
B.
partOfMilitaryArea
Indicates that one entity is located within or belongs to a designated military-controlled area of another entity.
-
C.
garrisonOrAssemblyArea
Indicates a location where military forces are stationed, housed, or gathered for organization, preparation, or deployment.
-
D.
garrisonOrHQ
Indicates that an entity serves as a military garrison or headquarters location for another entity.
-
E.
hostsMilitaryInstallation
Indicates that a location contains or accommodates a military base, facility, or installation operated by armed forces.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:50 a.m.