Triple
T2412423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General amending formula |
E52224
|
entity |
| Predicate | populationThreshold |
P37733
|
FINISHED |
| Object | at least 50% of the population of all the provinces |
—
|
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: at least 50% of the population of all the provinces | Statement: [General amending formula, populationThreshold, at least 50% of the population of all the provinces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationThreshold Context triple: [General amending formula, populationThreshold, at least 50% of the population of all the provinces]
-
A.
populationScale
Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
-
B.
populationConcentration
Indicates the degree to which a population is densely gathered or distributed within a specific area or region.
-
C.
populationIncludes
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
-
D.
populationRange
Indicates the numerical interval within which the size of a population falls.
-
E.
populationDensity
Indicates the number of individuals or entities occupying a unit area within a given region.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc92a4e1c8190819fa676295ac145 |
completed | March 7, 2026, 6:43 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6011e348190b6f9c038c7559289 |
completed | March 7, 2026, 6:30 a.m. |
Created at: March 6, 2026, 9:41 p.m.