Triple
T34237449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | officer cadet corps |
E878372
|
entity |
| Predicate | mayIncludeSubunit |
P71417
|
FINISHED |
| Object | platoon |
—
|
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: platoon | Statement: [officer cadet corps, mayIncludeSubunit, platoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayIncludeSubunit Context triple: [officer cadet corps, mayIncludeSubunit, platoon]
-
A.
mayIncludeUnitType
Indicates that something is allowed to contain or be associated with a particular type of unit.
-
B.
mayAlsoInclude
Indicates that something can optionally contain or encompass additional elements beyond those primarily specified.
-
C.
mayIncludeMode
Indicates that one entity is allowed to contain or support a particular mode as one of its possible configurations or options.
-
D.
hasSubunits
chosen
Indicates that an entity is composed of or organized into smaller constituent units that are part of its structure.
-
E.
subunitOf
Indicates that one entity functions as a component or smaller part within the structure or organization of another, larger entity.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.