Triple
T25694940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amar Ekushey Book Fair |
E644294
|
entity |
| Predicate | regularisedAsAnnualFair |
P6469
|
FINISHED |
| Object | 1978 |
—
|
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: 1978 | Statement: [Amar Ekushey Book Fair, regularisedAsAnnualFair, 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regularisedAsAnnualFair Context triple: [Amar Ekushey Book Fair, regularisedAsAnnualFair, 1978]
-
A.
isAnnualized
Indicates that a value has been converted or expressed on a yearly basis, typically by extrapolating from a shorter time period.
-
B.
isAnnual
Indicates that something occurs, is scheduled, or is valid once every year.
-
C.
requiresAnnualFinancialReports
Indicates that one entity is obligated to provide annual financial reports to another entity or authority.
-
D.
activatedAnnuallyUntil
Indicates that an action or state is activated once each year and continues to do so repeatedly up to, but not beyond, a specified end date.
-
E.
annualFrom
chosen
Indicates that something recurs or is calculated on a yearly basis starting from a specified point in time.
- 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 21, 2026, 8:33 p.m.