Triple
T25694947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amar Ekushey Book Fair |
E644294
|
entity |
| Predicate | expandedVenue |
P159796
|
FINISHED |
| Object | Suhrawardy Udyan |
—
|
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: Suhrawardy Udyan | Statement: [Amar Ekushey Book Fair, expandedVenue, Suhrawardy Udyan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandedVenue Context triple: [Amar Ekushey Book Fair, expandedVenue, Suhrawardy Udyan]
-
A.
openedAsVenue
Indicates that an entity began operating or was first established as a venue for events or public use.
-
B.
replacedVenue
Indicates that one venue has taken the place of another as its successor location or site.
-
C.
earlyVenue
Indicates that an event or activity takes place at a venue earlier than a standard, expected, or comparative time.
-
D.
internationalVenueFor
Indicates that a location serves as a host or site for events, activities, or functions involving participants or audiences from multiple countries.
-
E.
startVenue
Indicates the venue or location where an event, journey, or activity begins.
- 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fbc37468819097d5a6feafa6e4e8 |
completed | May 2, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 21, 2026, 8:33 p.m.