Triple
T33509278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uijeongbu |
E858195
|
entity |
| Predicate | nearbyUSMilitaryInstallations |
P15652
|
FINISHED |
| Object | Camp Red Cloud |
—
|
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: Camp Red Cloud | Statement: [Uijeongbu, nearbyUSMilitaryInstallations, Camp Red Cloud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyUSMilitaryInstallations Context triple: [Uijeongbu, nearbyUSMilitaryInstallations, Camp Red Cloud]
-
A.
nearMilitaryInstallation
chosen
Indicates that one entity is located in close physical proximity to a military installation or facility.
-
B.
hasFormerMilitaryInstallationNearby
Indicates that an entity is located close to a site where a military installation previously existed but is no longer active.
-
C.
isMilitaryInstallation
Indicates that a location functions as a military facility or base used for defense, training, operations, or related armed forces activities.
-
D.
militaryBasis
Indicates that one entity serves as the foundational military justification, rationale, or underlying military reason for another entity or action.
-
E.
hostsMilitaryInstallation
Indicates that a location contains or accommodates a military base, facility, or installation operated by armed forces.
- 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 1, 2026, 1:38 a.m.