Triple
T25768364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine Military Academy |
E648944
|
entity |
| Predicate | cadetRankStructure |
P59057
|
FINISHED |
| Object | four-class system |
—
|
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: four-class system | Statement: [Philippine Military Academy, cadetRankStructure, four-class system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cadetRankStructure Context triple: [Philippine Military Academy, cadetRankStructure, four-class system]
-
A.
hasCadetRankStructure
chosen
Indicates that an entity possesses or defines an organizational hierarchy of cadet ranks.
-
B.
commissionedRankStructure
Indicates that one entity defines or uses the hierarchical structure of commissioned ranks associated with another entity.
-
C.
hasCadetRank
Indicates that an entity holds or is assigned a cadet-level rank within a hierarchical or military-style ranking system.
-
D.
militaryRankProgression
Indicates the sequence or advancement of an individual’s positions within a structured military rank hierarchy.
-
E.
militaryRankStructureBasedOn
Indicates that one military rank structure is organized, modeled, or defined according to another specified system or framework of ranks.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdf52c2c8190b2354e611031e929 |
completed | May 2, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 5:12 a.m.