Triple
T16942267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TUC Regions |
E410974
|
entity |
| Predicate | hasParentOrganisationType |
P4383
|
FINISHED |
| Object | national trade union centre |
—
|
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: national trade union centre | Statement: [TUC Regions, hasParentOrganisationType, national trade union centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentOrganisationType Context triple: [TUC Regions, hasParentOrganisationType, national trade union centre]
-
A.
hasParentAgencyType
Indicates that an agency is associated with or falls under a parent agency of a specified type.
-
B.
hasParentSocietyType
Indicates that an entity is associated with, or belongs to, a broader parent society categorized by a specific type.
-
C.
hasSubOrganizationType
Indicates that an organization is associated with or classified under a specific type or category of sub-organization.
-
D.
hasParentCompanyType
Indicates that an entity is associated with a parent company of a specified organizational or business type.
-
E.
parentOrganizationType
chosen
Indicates the classification or category of the organization that serves as the parent in a hierarchical relationship.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfafc8448190a25be8ada84eff9c |
completed | April 18, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.