Triple
T33691380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent and Medway health economy |
E863189
|
entity |
| Predicate | populationServedApprox |
P178689
|
FINISHED |
| Object | over 1.8 million people |
—
|
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: over 1.8 million people | Statement: [Kent and Medway health economy, populationServedApprox, over 1.8 million people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationServedApprox Context triple: [Kent and Medway health economy, populationServedApprox, over 1.8 million people]
-
A.
inhabitantsServed
chosen
Indicates the relationship in which a service, facility, or resource provides for or meets the needs of a specified group of inhabitants.
-
B.
staffPopulationApprox
Indicates an approximate or estimated number of staff associated with an entity.
-
C.
hasServiceAreaPopulation
Indicates that an entity has a service area characterized by a specific population size or count.
-
D.
userPopulation
Indicates the total number of users associated with or served by a given system, service, or context.
-
E.
populationIncludes
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
- 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_69f3498662b48190904442c39df84fb7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 1, 2026, 1:43 a.m.