Triple
T15776106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Westminster (UK Parliament constituency) |
E382492
|
entity |
| Predicate | containsInstitutionalArea |
P120280
|
FINISHED |
| Object | UK central government district |
—
|
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: UK central government district | Statement: [City of Westminster (UK Parliament constituency), containsInstitutionalArea, UK central government district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsInstitutionalArea Context triple: [City of Westminster (UK Parliament constituency), containsInstitutionalArea, UK central government district]
-
A.
servesInstitutionalArea
Indicates that an entity provides services or functions in support of a specific institutional area or domain.
-
B.
hasInstitutionalCategory
Indicates that an entity is classified under a specific institutional type or category within an organizational or institutional framework.
-
C.
includesInstitution
Indicates that one entity contains, encompasses, or has as a member a particular institution.
-
D.
involvesInstitution
Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
-
E.
regionOfInstitution
Indicates that a specified region is the geographic area in which an institution is located or operates.
- F. None of above. chosen
Provenance (4 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05198c1588190a65e23c18443eb5c |
completed | April 16, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e03cc871d0819085c0fc54de7984ff |
completed | April 16, 2026, 1:35 a.m. |
Created at: April 10, 2026, 4:47 a.m.