Triple
T18237070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GiveWell |
E436708
|
entity |
| Predicate | dataTransparencyPolicy |
P34462
|
FINISHED |
| Object | publishes full reasoning and calculations for recommendations |
—
|
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: publishes full reasoning and calculations for recommendations | Statement: [GiveWell, dataTransparencyPolicy, publishes full reasoning and calculations for recommendations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataTransparencyPolicy Context triple: [GiveWell, dataTransparencyPolicy, publishes full reasoning and calculations for recommendations]
-
A.
dataPolicy
Indicates that one entity defines or governs how data related to another entity is collected, used, stored, or shared.
-
B.
dataAccessibleTo
Indicates that certain data can be reached, retrieved, or used by a specified entity or system.
-
C.
transparency
chosen
Indicates that an entity’s internal processes, information, or decision-making are openly accessible and understandable to others.
-
D.
explainsPolicy
Indicates that one entity provides a clarification or detailed description of a policy to another entity.
-
E.
ethicalPolicy
Indicates that an entity has, follows, or is governed by a specified ethical policy or set of moral guidelines.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7def3c48190a9a96c8b4911f0f3 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:33 a.m.