Triple
T26268907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangladesh Lekhak Shibir Award |
E657063
|
entity |
| Predicate | awardNameInBengali |
P167282
|
FINISHED |
| Object | বাংলাদেশ লেখক শিবির পুরস্কার |
—
|
NE NERFINISHED |
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: বাংলাদেশ লেখক শিবির পুরস্কার | Statement: [Bangladesh Lekhak Shibir Award, awardNameInBengali, বাংলাদেশ লেখক শিবির পুরস্কার]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardNameInBengali Context triple: [Bangladesh Lekhak Shibir Award, awardNameInBengali, বাংলাদেশ লেখক শিবির পুরস্কার]
-
A.
awardName
Indicates the specific name or title of an award associated with an entity.
-
B.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
C.
awardLanguage
Indicates that an award is given specifically for works or achievements in a particular language.
-
D.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
awardNameIncludes
Indicates that the name of an award contains the specified text or substring.
- 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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 26, 2026, 9:12 p.m.