Triple
T16999913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hampstead and Kilburn |
E412413
|
entity |
| Predicate | hasSignificantEuropeanMigrantPopulation |
P70257
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hampstead and Kilburn, hasSignificantEuropeanMigrantPopulation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantEuropeanMigrantPopulation Context triple: [Hampstead and Kilburn, hasSignificantEuropeanMigrantPopulation, yes]
-
A.
hasSignificantEmigrationTo
Indicates that a substantial number of people leave one place, group, or entity to move and settle in another specific place, group, or entity.
-
B.
hasImmigrantCommunitiesFrom
chosen
Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
-
C.
immigrantPopulationShare
Indicates the proportion of a total population that is made up of immigrants.
-
D.
hasRefugeePopulation
Indicates that an entity hosts, contains, or is associated with a population of refugees.
-
E.
hasSignificantPopulationGroup
Indicates that an entity contains or is associated with a notable or substantial subgroup of a population, distinguished by shared characteristics or attributes.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37cd6248190a7202ae754882640 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.