Triple
T23759006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Standard Minimum Rules for the Treatment of Prisoners |
E587198
|
entity |
| Predicate | initialAdoptionPlace |
P4186
|
FINISHED |
| Object | Geneva |
—
|
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: Geneva | Statement: [United Nations Standard Minimum Rules for the Treatment of Prisoners, initialAdoptionPlace, Geneva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialAdoptionPlace Context triple: [United Nations Standard Minimum Rules for the Treatment of Prisoners, initialAdoptionPlace, Geneva]
-
A.
placeOfFormalAdoption
Indicates the location where a formal adoption legally took place.
-
B.
placeOfFirstPopularity
Indicates the location where something (such as a work, idea, or person) first gained notable recognition or widespread popularity.
-
C.
continentOfAdoption
Indicates the continent on which an adoption takes place or to which an adoption is geographically attributed.
-
D.
adoptedInCity
chosen
Indicates that an adoption event took place within a specific city.
-
E.
capitalOfOrigin
Indicates that one entity is the capital city associated with the origin (such as birthplace, founding place, or source location) of another entity.
- 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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdaf52848190b034208de4c4e01a |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:14 p.m.