Triple
T4779336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Alliance of National Human Rights Institutions |
E106133
|
entity |
| Predicate | supportsEntityType |
P59272
|
FINISHED |
| Object | national human rights institution |
—
|
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: national human rights institution | Statement: [Global Alliance of National Human Rights Institutions, supportsEntityType, national human rights institution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsEntityType Context triple: [Global Alliance of National Human Rights Institutions, supportsEntityType, national human rights institution]
-
A.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
B.
supportsUserType
Indicates that one entity is compatible with, or provides functionality for, a specified type or category of user.
-
C.
supportsTargetType
Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
-
D.
supportsModelType
Indicates that an entity is compatible with, or can operate using, a specified model type.
-
E.
appliedToEntityType
Indicates that something (such as a rule, constraint, or operation) is specifically applied to entities of a given type.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6922407481908565ed0b1dac2b30 |
completed | March 20, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:21 p.m.