Triple
T6225858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lordship of Tournai and Tournaisis |
E139230
|
entity |
| Predicate | languageInhabitants |
P69010
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Lordship of Tournai and Tournaisis, languageInhabitants, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageInhabitants Context triple: [Lordship of Tournai and Tournaisis, languageInhabitants, French]
-
A.
populationDemonym
Indicates the term used to refer to the people or inhabitants associated with a particular place or region.
-
B.
countryPopulationContext
Indicates the contextual population characteristics or statistics associated with a specific country.
-
C.
populationCount
Indicates the total number of individuals in a specified group, area, or category.
-
D.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
E.
hasPopulationOver
Indicates that one entity has a population greater than a specified number or than another entity.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d42c688190be4d8d8325d6daaa |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:22 p.m.