Triple
T7514987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhola |
E177615
|
entity |
| Predicate | hasTelecommunicationCode |
P247
|
FINISHED |
| Object | Bangladesh national dialing system |
—
|
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: Bangladesh national dialing system | Statement: [Bhola, hasTelecommunicationCode, Bangladesh national dialing system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelecommunicationCode Context triple: [Bhola, hasTelecommunicationCode, Bangladesh national dialing system]
-
A.
hasTelecommunicationsRole
Indicates that an entity holds or performs a specific function, position, or responsibility within the field of telecommunications.
-
B.
hasTelephoneService
Indicates that a subject is provided with or connected to telephone service.
-
C.
hasCommunicationCodeType
Indicates that an entity is associated with a specific type or category of communication code (e.g., phone, fax, email, messaging).
-
D.
hasAreaCode
Indicates that a specified telephone area code is assigned to or associated with a particular geographic region, location, or phone service entity.
-
E.
callingCode
chosen
Indicates the telephone country or area code associated with an entity for making phone calls.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f44dd48190b2b093aab9a196c8 |
completed | March 27, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:45 p.m.