Triple
T23437121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noakhali Sadar Upazila |
E563493
|
entity |
| Predicate | hasPoliceRole |
P152275
|
FINISHED |
| Object | hosts district police headquarters of Noakhali District |
—
|
LITERAL 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: hosts district police headquarters of Noakhali District | Statement: [Noakhali Sadar Upazila, hasPoliceRole, hosts district police headquarters of Noakhali District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliceRole Context triple: [Noakhali Sadar Upazila, hasPoliceRole, hosts district police headquarters of Noakhali District]
-
A.
hasPolicePartner
Indicates that one entity has another entity as its partner in a police or law-enforcement context.
-
B.
hasPoliceChief
Indicates that an entity has, is associated with, or is under the authority of a specific police chief.
-
C.
hasPoliceInstitution
Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
-
D.
hasPoliceCommissionerate
Indicates that a particular area or jurisdiction falls under the authority or administration of a specific police commissionerate.
-
E.
hasPoliceTheme
Indicates that something features police, law enforcement, or policing activities as a central theme or focus.
- F. None of above. chosen
Provenance (4 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5dcd4608190a543cc747e0daab8 |
completed | April 29, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:50 p.m.