Triple
T7703290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Americas |
E174551
|
entity |
| Predicate | usedToAdvocate |
P26857
|
FINISHED |
| Object | anti-poverty programs |
—
|
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: anti-poverty programs | Statement: [Two Americas, usedToAdvocate, anti-poverty programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToAdvocate Context triple: [Two Americas, usedToAdvocate, anti-poverty programs]
-
A.
advocates
Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
-
B.
advocatesAgainst
Indicates that one entity actively opposes, argues against, or campaigns to prevent or stop another entity, action, or idea.
-
C.
hasAdvocacyMethod
chosen
Indicates the method, strategy, or approach used to advocate for a cause, issue, or entity.
-
D.
usedInElection
Indicates that something (such as a resource, tool, or method) was employed or applied as part of conducting an election.
-
E.
notableProponent
Indicates that an entity is a well-known advocate or supporter of another entity, idea, or practice.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.