Triple
T278152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conservative Women’s Organisation |
E5293
|
entity |
| Predicate | organisationalType |
P3580
|
FINISHED |
| Object | party auxiliary |
—
|
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: party auxiliary | Statement: [Conservative Women’s Organisation, organisationalType, party auxiliary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organisationalType Context triple: [Conservative Women’s Organisation, organisationalType, party auxiliary]
-
A.
organizationType
chosen
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
B.
hasTypeOfOrganization
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
C.
parentOrganizationType
Indicates the classification or category of the organization that serves as the parent in a hierarchical relationship.
-
D.
foundedOrganizationType
Indicates that an entity established or created an organization of a specified type (e.g., company, nonprofit, institution).
-
E.
sponsoringOrganizationType
Indicates the kind or category of organization that provides sponsorship or support in the described relationship or activity.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dee7830819087f153769a8496b9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b765f488190b2cbe4b45cd42821 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.