Triple
T25864128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val-Richer |
E651564
|
entity |
| Predicate | associatedWithCountryOfResident |
P22499
|
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: [Val-Richer, associatedWithCountryOfResident, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCountryOfResident Context triple: [Val-Richer, associatedWithCountryOfResident, France]
-
A.
associatedWithNationality
Indicates that one entity has a connection or affiliation with the nationality of another entity.
-
B.
citizenshipLinkedTo
Indicates that there is an established connection between an entity and a specific citizenship status, such as holding, sharing, or being associated with that citizenship.
-
C.
hasResidenceIn
chosen
Indicates that an entity lives or maintains a primary dwelling in a specified location.
-
D.
hasBranchResidenceIn
Indicates that an organization maintains a branch or subsidiary located in a specified place or jurisdiction.
-
E.
associatedResidenceForElectors
Indicates that a particular residence is officially linked to or recorded for a given elector.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: April 22, 2026, 8:06 a.m.