Triple
T1880084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baduy |
E39831
|
entity |
| Predicate | educationPractice |
P34316
|
FINISHED |
| Object | informal traditional education |
—
|
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: informal traditional education | Statement: [Baduy, educationPractice, informal traditional education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationPractice Context triple: [Baduy, educationPractice, informal traditional education]
-
A.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
B.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
C.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
D.
educationSetting
Indicates the type or context of the educational environment in which the related entity participates or operates.
-
E.
educationPolicy
Indicates a relationship where an authority or entity establishes, governs, or influences rules, strategies, or frameworks guiding an education system or educational practices.
- F. None of above. chosen
Provenance (4 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb4f53f408190ae30e1a12721e7d7 |
completed | March 7, 2026, 5:17 a.m. |
| PD | Predicate disambiguation | batch_69abafe497a88190a1da6af2888b71b4 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb4f3fb9481908b54506dc2836124 |
completed | March 7, 2026, 5:17 a.m. |
Created at: March 4, 2026, 7:34 p.m.