Triple
T862142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amnesty International |
E18620
|
entity |
| Predicate | campaignsAgainst |
P11461
|
FINISHED |
| Object | torture |
—
|
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: torture | Statement: [Amnesty International, campaignsAgainst, torture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignsAgainst Context triple: [Amnesty International, campaignsAgainst, torture]
-
A.
notableCampaign
Indicates that an entity is prominently associated with a particular campaign, such as by leading, featuring in, or being a key focus of that campaign.
-
B.
majorCampaignType
Indicates the primary category or classification of a campaign within a broader set of campaign types.
-
C.
campaign
Indicates that an entity actively organizes or conducts a coordinated effort or series of actions aimed at achieving a specific goal, often in political, commercial, or social contexts.
-
D.
protests
Indicates that an entity publicly expresses opposition or disapproval toward another entity, action, or situation.
-
E.
areaOfActivism
chosen
Indicates the specific social, political, or environmental cause or issue that an entity actively advocates for or works to change.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac6631408190a19b83126fa86100 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa84835081908aaf98b10656d7d6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.