Triple
T23883525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lezgin |
E600269
|
entity |
| Predicate | usedInEducationAt |
P23523
|
FINISHED |
| Object | primary school level in Dagestan |
—
|
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: primary school level in Dagestan | Statement: [Lezgin, usedInEducationAt, primary school level in Dagestan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInEducationAt Context triple: [Lezgin, usedInEducationAt, primary school level in Dagestan]
-
A.
usedInEducationIn
chosen
Indicates that something is employed or applied within educational contexts in a particular place or institution.
-
B.
educationUse
Indicates the use or application of something specifically for educational purposes or in an educational context.
-
C.
usesForEducationAdministration
Indicates that something is used for managing or supporting educational administration activities or processes.
-
D.
hasEducationalUse
Indicates that something is intended to be used for educational or instructional purposes.
-
E.
isTaughtInSchools
Indicates that a subject, concept, or skill is included as part of the formal curriculum in educational institutions.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ccfbbe4c819093e590709719ab72 |
completed | April 29, 2026, 9:18 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:24 p.m.