Triple
T14282693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohammad Ali of Bogra |
E354089
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Bogra |
E496105
|
NE 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: Bogra | Statement: [Mohammad Ali of Bogra, birthPlace, Bogra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bogra Context triple: [Mohammad Ali of Bogra, birthPlace, Bogra]
-
A.
Bogra
chosen
Bogra is a major city and commercial hub in northern Bangladesh, historically part of the Bengal region.
-
B.
Baria
Baria is an alternative name for the city of Nara, an ancient cultural and historical center in Japan renowned for its temples and traditional heritage.
-
C.
Agargaon
Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
-
D.
Khanakul
Khanakul is a town in the Hooghly district of West Bengal, India, known for its rural setting and local agricultural economy.
-
E.
Bagdogra
Bagdogra is a town in the Darjeeling district of West Bengal, India, known as a key gateway to the eastern Himalayas and nearby hill stations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697d9fd08190b0cd7a6a6737ba03 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd467f3b3081908261261301674c4e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:10 a.m.