Triple
T10024920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Services |
E200699
|
entity |
| Predicate | canBeOrganizedAs |
P4786
|
FINISHED |
| Object | volunteer force |
—
|
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: volunteer force | Statement: [Military Services, canBeOrganizedAs, volunteer force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeOrganizedAs Context triple: [Military Services, canBeOrganizedAs, volunteer force]
-
A.
canBeReorganizedBy
Indicates that one entity has the ability or authority to rearrange, restructure, or otherwise reorganize another entity.
-
B.
mayBeOrganizedBy
Indicates that an event, activity, or entity has the possibility of being organized or arranged by a particular agent or organization, without asserting that this organization definitely occurs.
-
C.
organizesInto
Indicates that one entity arranges, structures, or groups another entity into a particular order, system, or set of categories.
-
D.
organizedAs
chosen
Indicates how elements are structured, arranged, or grouped according to a particular organizing principle or scheme.
-
E.
isNotOrganizedAs
Indicates that an entity does not follow, conform to, or exist in the specified organizational structure or arrangement.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd7d9c9c81909a0a0917deed0973 |
completed | April 2, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:53 p.m.