Triple
T21684733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agargaon |
E535199
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Sher-e-Bangla Nagar |
—
|
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: Sher-e-Bangla Nagar | Statement: [Agargaon, adjacentTo, Sher-e-Bangla Nagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sher-e-Bangla Nagar Context triple: [Agargaon, adjacentTo, Sher-e-Bangla Nagar]
-
A.
Sher-e-Bangla Nagar
chosen
Sher-e-Bangla Nagar is a prominent government and architectural complex in Dhaka, Bangladesh, best known for housing the National Parliament Building designed by architect Louis Kahn.
-
B.
Bileh Savar
Bileh Savar is a city in northwestern Iran known as a border town near Azerbaijan in Ardabil Province.
-
C.
Dhaka Cantonment
Dhaka Cantonment is a major military base and administrative area in Dhaka that serves as a central hub for Bangladesh’s armed forces and defense institutions.
-
D.
Liaquatabad Town
Liaquatabad Town is a densely populated residential and commercial locality in Karachi, Pakistan, known for its bustling markets and central urban location.
-
E.
Mohiuddinnagar
Mohiuddinnagar is a town in the Indian state of Bihar, situated within the Samastipur district.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96ca668481909f53853c7a8ea811 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.