Triple
T21345422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamirpur district |
E526320
|
entity |
| Predicate | hasLiteracyRate |
P10080
|
FINISHED |
| Object | among the highest in Himachal Pradesh |
—
|
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: among the highest in Himachal Pradesh | Statement: [Hamirpur district, hasLiteracyRate, among the highest in Himachal Pradesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiteracyRate Context triple: [Hamirpur district, hasLiteracyRate, among the highest in Himachal Pradesh]
-
A.
literacyStatus
chosen
Indicates whether an entity possesses the ability to read and write, or its level of literacy.
-
B.
typeOfLiteracy
Indicates the specific kind or category of literacy (e.g., digital, financial, media) that characterizes an entity’s literacy skills or practices.
-
C.
literacyRequirementAdministeredBy
Indicates that the administration or enforcement of a literacy requirement is carried out by a specified agent or authority.
-
D.
hasLiteracyConcern
Indicates that an entity has an identified issue, risk, or challenge related to literacy skills or abilities.
-
E.
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.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a854e8ec81909efd41c1e959cc61 |
completed | April 22, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:54 p.m.