Triple
T203425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States militia forces |
E4556
|
entity |
| Predicate | typicalService |
P5621
|
FINISHED |
| Object | short-term military service |
—
|
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: short-term military service | Statement: [United States militia forces, typicalService, short-term military service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalService Context triple: [United States militia forces, typicalService, short-term military service]
-
A.
serviceClass
chosen
Indicates the classification or category of service associated with or provided by an entity in the relationship.
-
B.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
C.
service
Indicates that one entity performs work, assistance, or functions to meet the needs or requests of another entity.
-
D.
operatesService
Indicates that an agent runs, manages, or provides a particular service.
-
E.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f46b4f081909e5ee3718109a71f |
completed | Feb. 28, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69a25b4b42ec8190bef16bbbdd30a742 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.