Triple
T9923809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Association of Colored Women |
E187869
|
entity |
| Predicate | targetOfAdvocacy |
P33291
|
FINISHED |
| Object | segregation laws |
—
|
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: segregation laws | Statement: [National Association of Colored Women, targetOfAdvocacy, segregation laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOfAdvocacy Context triple: [National Association of Colored Women, targetOfAdvocacy, segregation laws]
-
A.
politicalGoal
Indicates a relationship where an entity aims to achieve, promote, or realize a specific political outcome, policy, or state of affairs.
-
B.
advocatesAgainst
chosen
Indicates that one entity actively opposes, argues against, or campaigns to prevent or stop another entity, action, or idea.
-
C.
targetConstituency
Indicates that something is directed toward, intended for, or affects a particular constituency or group of stakeholders.
-
D.
advocates
Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
-
E.
advocacyOrganization
Indicates that an organization actively supports, promotes, or works on behalf of a cause, issue, or group through advocacy activities.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb59733188190900426e4e29ae5e3 |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.