Triple
T25656737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangladesh Independence Day |
E643255
|
entity |
| Predicate | educationSectorStatus |
P162895
|
FINISHED |
| Object | schools closed |
—
|
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: schools closed | Statement: [Bangladesh Independence Day, educationSectorStatus, schools closed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationSectorStatus Context triple: [Bangladesh Independence Day, educationSectorStatus, schools closed]
-
A.
educationalSector
Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
-
B.
schoolStatus
Indicates the current educational situation or enrollment condition of an entity in relation to a school.
-
C.
schoolSector
Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
-
D.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
-
E.
educatesForSector
Indicates that an entity provides education or training specifically aimed at preparing individuals for a particular sector or industry.
- F. None of above. chosen
Provenance (4 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f62e83045c8190a424a2e401a88e9e |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d886828819080ec2f742b9449e3 |
completed | May 2, 2026, 4:59 p.m. |
Created at: April 21, 2026, 6:34 p.m.