Triple
T8589647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesian Military Academy |
E203396
|
entity |
| Predicate | hasCadetDesignation |
P46851
|
FINISHED |
| Object | taruna |
—
|
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: taruna | Statement: [Indonesian Military Academy, hasCadetDesignation, taruna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCadetDesignation Context triple: [Indonesian Military Academy, hasCadetDesignation, taruna]
-
A.
hasCadetRank
Indicates that an entity holds or is assigned a cadet-level rank within a hierarchical or military-style ranking system.
-
B.
hasCadetType
chosen
Indicates that an entity is associated with or classified under a specific type or category of cadet.
-
C.
hasCadetProgram
Indicates that an organization or entity offers or operates a cadet program for training or development.
-
D.
hasCadetRankStructure
Indicates that an entity possesses or defines an organizational hierarchy of cadet ranks.
-
E.
hasCadetBranch
Indicates that one lineage, family, or house is a junior or offshoot branch derived from another main or senior line.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:23 p.m.