Triple
T23701646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deputy Commissioner of Dhaka |
E585609
|
entity |
| Predicate | officeAddress |
P41147
|
FINISHED |
| Object | Dhaka Collectorate or District Commissioner’s Office, Dhaka |
—
|
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 Collectorate or District Commissioner’s Office, Dhaka | Statement: [Deputy Commissioner of Dhaka, officeAddress, Dhaka Collectorate or District Commissioner’s Office, Dhaka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeAddress Context triple: [Deputy Commissioner of Dhaka, officeAddress, Dhaka Collectorate or District Commissioner’s Office, Dhaka]
-
A.
address
Indicates that one entity directs spoken or written communication specifically to another entity.
-
B.
addressesOffice
Indicates that one entity directs communication, correspondence, or attention specifically to an office associated with another entity.
-
C.
postalAddressFor
chosen
Indicates that one entity serves as the postal address associated with, or used for sending mail to, another entity.
-
D.
addressType
Indicates the specific kind or category of address associated with an entity (e.g., home, work, billing, or shipping).
-
E.
addressesWork
Indicates that one entity directs or delivers work-related communication or correspondence to another entity.
- F. None of above.
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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b683edb88190847d34640b6cfabe |
completed | April 29, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.