Triple
T21955692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeant Bilko |
E542180
|
entity |
| Predicate | platoonType |
P6154
|
FINISHED |
| Object | misfit 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: misfit platoon | Statement: [Sergeant Bilko, platoonType, misfit platoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platoonType Context triple: [Sergeant Bilko, platoonType, misfit platoon]
-
A.
typeOfTroops
chosen
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
-
B.
portraysMilitaryUnit
Indicates that one entity visually or narratively represents, depicts, or shows a specific military unit.
-
C.
regimentalCategory
Indicates the classification or type of regiment to which a military unit or formation belongs.
-
D.
garrisonOrCrewType
Indicates the specific kind of garrison or crew assigned to occupy, staff, or operate a given entity.
-
E.
battleGroup
Indicates that multiple military units or forces are organized together as a single coordinated combat formation.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243f46dc819097e4a1849af7fba4 |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:59 p.m.