Triple
T23209271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangladesh National Museum |
E580545
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Shahbag |
—
|
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: Shahbag | Statement: [Bangladesh National Museum, location, Shahbag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahbag Context triple: [Bangladesh National Museum, location, Shahbag]
-
A.
Shahbagh
chosen
Shahbagh is a prominent neighborhood and cultural hub in central Dhaka, known for its museums, libraries, political gatherings, and proximity to major educational and administrative institutions.
-
B.
Farah Bagh
Farah Bagh is a historic palace complex in Ahmednagar, India, built by the Nizam Shahi rulers and known for its Mughal-era architecture and royal gardens.
-
C.
Begumganj
Begumganj is a town and administrative subdivision in the Raisen district of Madhya Pradesh, India.
-
D.
Islampur
Islampur is a town in the Indian state of West Bengal, known as a local commercial and administrative center in the northern part of the state.
-
E.
Sultanabad
Sultanabad is the former name of the Iranian city now known as Arak, an important industrial and historical center in central Iran.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191609c64819096ace0d286d36f76 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:07 p.m.