Triple
T26745281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Sandoval |
E674380
|
entity |
| Predicate | policyEffectOnHer |
P75607
|
FINISHED |
| Object | inability to take driver’s license exam in Spanish |
—
|
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: inability to take driver’s license exam in Spanish | Statement: [Martha Sandoval, policyEffectOnHer, inability to take driver’s license exam in Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyEffectOnHer Context triple: [Martha Sandoval, policyEffectOnHer, inability to take driver’s license exam in Spanish]
-
A.
effectOnUser
chosen
Indicates how an action, event, or condition influences or impacts a user.
-
B.
policyImplication
Indicates that one policy, decision, or condition leads to, justifies, or necessitates another policy outcome or course of action.
-
C.
effectOnOthers
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
D.
effectOnPolity
Indicates the impact or consequence that one entity, event, or action has on a political body or governing organization.
-
E.
policyResponseTo
Indicates a relationship where a policy is created, modified, or applied as a direct reaction to a specific event, condition, or prior action.
- 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 3:51 a.m.