Triple
T12554977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asur |
E295189
|
entity |
| Predicate | educationChallenges |
P57405
|
FINISHED |
| Object | Low literacy rates |
—
|
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: Low literacy rates | Statement: [Asur, educationChallenges, Low literacy rates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationChallenges Context triple: [Asur, educationChallenges, Low literacy rates]
-
A.
educationIssue
chosen
Indicates that there is a problem, challenge, or concern related to education affecting the entities involved.
-
B.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
C.
educationPractice
Indicates that an entity engages in, applies, or embodies a particular educational method, strategy, or instructional approach.
-
D.
currentChallenges
Indicates the difficulties or obstacles an entity is presently facing or dealing with.
-
E.
educationStandard
Indicates that an entity adheres to, is governed by, or is evaluated according to a specified educational benchmark, guideline, or required level of learning.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:45 p.m.