Triple
T22458989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malappuram district |
E555180
|
entity |
| Predicate | hasEducationalIndicator |
P33306
|
FINISHED |
| Object | high 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: high literacy rate | Statement: [Malappuram district, hasEducationalIndicator, high literacy rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalIndicator Context triple: [Malappuram district, hasEducationalIndicator, high literacy rate]
-
A.
hasEducationalStatus
Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
-
B.
educationIndicator
chosen
Indicates that there is a measure or metric reflecting some aspect of educational status, performance, or outcomes associated with the entities.
-
C.
hasEducationalProfile
Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
-
D.
hasStatusInEducation
Indicates that an entity holds a particular educational status or standing within an educational system, program, or institution.
-
E.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7e01fc8190825c3dc024484440 |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.