Triple
T21213237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indira Gandhi Cultural Centre (Dhaka) |
E522771
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Dhaka, Bangladesh |
—
|
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: Dhaka, Bangladesh | Statement: [Indira Gandhi Cultural Centre (Dhaka), locatedIn, Dhaka, Bangladesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhaka, Bangladesh Context triple: [Indira Gandhi Cultural Centre (Dhaka), locatedIn, Dhaka, Bangladesh]
-
A.
Dhaka
chosen
Dhaka is the capital and largest city of Bangladesh, serving as the country’s political, economic, and cultural center.
-
B.
Dhaka
Dhaka is a town in the East Champaran district of Bihar, India, known as a local administrative and commercial center in the region.
-
C.
Chittagong
Chittagong is a major coastal city and Bangladesh’s principal seaport, known for its bustling maritime trade and industrial significance.
-
D.
Rangpur
Rangpur is a city in northern Bangladesh known as a regional administrative, cultural, and commercial center.
-
E.
Motijheel, Dhaka
Motijheel, Dhaka is a major commercial and financial district of Bangladesh’s capital city, known for housing key banks, corporate offices, and government institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7347088488190aa764b3f4bbac44d |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:38 p.m.