Triple
T19996011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French nobility |
E494193
|
entity |
| Predicate | hadPopulationShare |
P54100
|
FINISHED |
| Object | small minority of French population |
—
|
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: small minority of French population | Statement: [French nobility, hadPopulationShare, small minority of French population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPopulationShare Context triple: [French nobility, hadPopulationShare, small minority of French population]
-
A.
hadPopulationType
Indicates that an entity possessed a particular classification or type of population during a given time or context.
-
B.
hadPopulationFrom
Indicates that an entity had a specified population value during a particular time period starting from a given date.
-
C.
dividedPopulationOf
Indicates that a population has been split into distinct subgroups or segments, typically based on specified criteria or characteristics.
-
D.
immigrantPopulationShare
Indicates the proportion of a total population that is made up of immigrants.
-
E.
relativePopulation
chosen
Indicates the comparative size of one population relative to another, typically expressing how large, small, or proportionate it is.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe3fb288190a935c334e8a5d54e |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:32 p.m.