Triple
T8405766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonargaon |
E198493
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Sonargaon City |
E198493
|
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: Sonargaon City | Statement: [Sonargaon, hasAlternativeName, Sonargaon City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonargaon City Context triple: [Sonargaon, hasAlternativeName, Sonargaon City]
-
A.
Sonargaon
chosen
Sonargaon is a historic city in present-day Bangladesh that served as a major political and commercial center in medieval Bengal, renowned for its role in regional trade and Islamic culture.
-
B.
Narayanganj City
Narayanganj City is a major industrial and river port city in central Bangladesh, known for its textile and jute industries and its proximity to the capital, Dhaka.
-
C.
Mohiuddinnagar
Mohiuddinnagar is a town in the Indian state of Bihar, situated within the Samastipur district.
-
D.
Agargaon
Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
-
E.
Savar
Savar is a suburban area near Dhaka in Bangladesh, known for its educational institutions, industrial zones, and historical significance.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb8312941c8190af0b2def0a4e02be |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02f8596c8190a61b6f1ffd5a609c |
completed | April 2, 2026, 5:47 a.m. |
Created at: March 30, 2026, 6:05 p.m.