Triple
T2148803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leyes Constitucionales de 1836 |
E47131
|
entity |
| Predicate | imposedLiteracyRequirementsFor |
P31402
|
FINISHED |
| Object | citizenship |
—
|
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: citizenship | Statement: [Leyes Constitucionales de 1836, imposedLiteracyRequirementsFor, citizenship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imposedLiteracyRequirementsFor Context triple: [Leyes Constitucionales de 1836, imposedLiteracyRequirementsFor, citizenship]
-
A.
literacyTestRequirement
chosen
Indicates that an entity is subject to, or must satisfy, a literacy test as a condition for participation in a specified activity or obtaining a particular status.
-
B.
literacyStatus
Indicates whether an entity possesses the ability to read and write, or its level of literacy.
-
C.
requiresEducation
Indicates that performing or holding the related role, activity, or position depends on having a specified level or type of education.
-
D.
politicalRequirement
Indicates that one entity imposes or must satisfy a political condition, qualification, or constraint in relation to another entity or context.
-
E.
minimumAgeForLiteracyTest
Indicates the minimum age requirement that an individual must meet in order to be eligible to take a literacy test.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeaa14bc81908486683decd7ae42 |
completed | March 7, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_69abbd9846e88190b6c2941dd9ce7749 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.