Triple
T38323662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolpa District (during insurgency) |
E1036723
|
entity |
| Predicate | hadMilitaryInfrastructure |
P100128
|
FINISHED |
| Object | PLA training camps |
—
|
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: PLA training camps | Statement: [Rolpa District (during insurgency), hadMilitaryInfrastructure, PLA training camps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadMilitaryInfrastructure Context triple: [Rolpa District (during insurgency), hadMilitaryInfrastructure, PLA training camps]
-
A.
militaryArchitecture
Indicates a relationship where something is designed, built, or characterized specifically for military defensive or fortification purposes.
-
B.
formerMilitaryBase
Indicates that a location was previously used as a military base but no longer serves that function.
-
C.
hadCantonmentBarracks
Indicates that a location or authority maintained or was equipped with cantonment barracks used to house military personnel.
-
D.
hadMilitaryPost
Indicates that an entity held an official position or assignment within a military organization.
-
E.
hostsMilitaryInstallation
chosen
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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.