Triple
T15314955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woking Civic Offices |
E366130
|
entity |
| Predicate | hasTypeOfOrganizationHoused |
P22912
|
FINISHED |
| Object | local authority |
—
|
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 authority | Statement: [Woking Civic Offices, hasTypeOfOrganizationHoused, local authority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfOrganizationHoused Context triple: [Woking Civic Offices, hasTypeOfOrganizationHoused, local authority]
-
A.
hasHostOrganization
Indicates that an entity is affiliated with, sponsored by, or operates under the responsibility of a particular host organization.
-
B.
hasTypeOfOrganization
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
C.
hasResidentOrganization
Indicates that an organization is based in, operates from, or maintains a primary presence within a particular place or facility.
-
D.
hostsOrganizationType
chosen
Indicates that an entity serves as the hosting venue or platform for organizations of a specified type.
-
E.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd050108190a584543cb93943a4 |
completed | April 16, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.