Triple
T26977031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malkangiri district |
E679484
|
entity |
| Predicate | hasLiteracyChallenge |
P111042
|
FINISHED |
| Object | low literacy rate |
—
|
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 rate | Statement: [Malkangiri district, hasLiteracyChallenge, low literacy rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiteracyChallenge Context triple: [Malkangiri district, hasLiteracyChallenge, low literacy rate]
-
A.
hasLiteracyConcern
chosen
Indicates that an entity has an identified issue, risk, or challenge related to literacy skills or abilities.
-
B.
literacyStatus
Indicates whether an entity possesses the ability to read and write, or its level of literacy.
-
C.
typeOfLiteracy
Indicates the specific kind or category of literacy (e.g., digital, financial, media) that characterizes an entity’s literacy skills or practices.
-
D.
literacyTestRequirement
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.
-
E.
literacyMovement
Indicates a relationship where an entity leads, participates in, or is associated with an organized effort to promote or improve literacy.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 27, 2026, 6:43 a.m.