Triple
T19882331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diaspar |
E477806
|
entity |
| Predicate | populationState |
P137692
|
FINISHED |
| Object | static population size |
—
|
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: static population size | Statement: [Diaspar, populationState, static population size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationState Context triple: [Diaspar, populationState, static population size]
-
A.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
B.
populationIncludes
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
-
C.
populationCount
Indicates the total number of individuals in a specified group, area, or category.
-
D.
populationBasis
Indicates that a population measurement is based on, derived from, or defined with respect to a particular reference, criterion, or underlying basis.
-
E.
populationContext
Indicates the demographic or population-related setting or conditions within which an entity, event, or measurement is defined or interpreted.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658e0ccc88190b6f093035cd6f2a1 |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.