Triple
T23799441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nord (department) |
E588628
|
entity |
| Predicate | isMostPopulousDepartmentOf |
P153601
|
FINISHED |
| Object | France |
—
|
NE NERFINISHED |
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: France | Statement: [Nord (department), isMostPopulousDepartmentOf, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostPopulousDepartmentOf Context triple: [Nord (department), isMostPopulousDepartmentOf, France]
-
A.
isMostPopulousMunicipalityOf
Indicates that a municipality has the largest population among all municipalities within the specified administrative area or region.
-
B.
hasPopulationRankInDepartment
Indicates the relative position of an entity’s population size compared to other entities within the same department.
-
C.
capitalOfDepartment
Indicates that a city or town serves as the administrative capital of a specified department (an administrative division).
-
D.
isMostPopulousDistrictIn
Indicates that a district has the largest population among all districts within the specified larger region or jurisdiction.
-
E.
hasCountryCapitalOfDepartment
Indicates that a specific country serves as the capital or primary governing nation associated with a particular department.
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6dfaae081908be48fa89e625f71 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:52 p.m.