Triple
T34374667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free State commandos |
E882253
|
entity |
| Predicate | usedOrganizationType |
P3580
|
FINISHED |
| Object | local district commandos |
—
|
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: local district commandos | Statement: [Free State commandos, usedOrganizationType, local district commandos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOrganizationType Context triple: [Free State commandos, usedOrganizationType, local district commandos]
-
A.
usedByOrganizationType
Indicates that something is utilized or employed by organizations of a specified type.
-
B.
usesOrganization
Indicates that one entity makes use of, relies on, or operates through a particular organization to perform its functions or activities.
-
C.
usedInOrganization
Indicates that something (such as a tool, method, or resource) is employed or applied within a particular organization.
-
D.
organizationType
chosen
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
E.
containsOrganizationType
Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:59 a.m.