Triple
T891264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Borough of Harrow |
E19242
|
entity |
| Predicate | ethnicallyDiverse |
P14432
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [London Borough of Harrow, ethnicallyDiverse, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicallyDiverse Context triple: [London Borough of Harrow, ethnicallyDiverse, true]
-
A.
diversity
chosen
Indicates the degree to which a set of entities differs along one or more dimensions such as type, attributes, or characteristics.
-
B.
involvedEthnicGroup
Indicates that a particular ethnic group participates in, is affected by, or is otherwise associated with the referenced event, situation, or entity.
-
C.
otherEthnicGroup
Indicates that one entity belongs to a different ethnic group than the other entity.
-
D.
attitudeTowardDiversity
Indicates a stance, feeling, or evaluation that an entity holds regarding diversity or diverse groups.
-
E.
centerOfDiversity
Indicates the location where a particular group, trait, or phenomenon exhibits its greatest variety or concentration of diversity.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad019e448190ab991e85dc6d7708 |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9372e88190b5a9db4afdc045c6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.