Triple
T35741336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSCE human dimension institutions |
E1033041
|
entity |
| Predicate | normativeArea |
P49097
|
FINISHED |
| Object | civil and political rights |
—
|
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: civil and political rights | Statement: [CSCE human dimension institutions, normativeArea, civil and political rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: normativeArea Context triple: [CSCE human dimension institutions, normativeArea, civil and political rights]
-
A.
regulatedArea
Indicates that an area is subject to specific rules, controls, or restrictions imposed by an authority.
-
B.
regulatesArea
Indicates that one entity exercises control or governance over the spatial extent, scope, or domain of another entity.
-
C.
assessmentAreaDefinedBy
Indicates that the scope or domain of an assessment is specified or delimited by a particular area or boundary.
-
D.
canonicalArea
Indicates that an entity is associated with a standardized or primary geographic or spatial area that represents its main or official location.
-
E.
areaOfAuthority
chosen
Indicates the domain, region, or scope within which an entity has official power, control, or responsibility.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.