Triple
T24140397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madaripur District |
E598212
|
entity |
| Predicate | hasRegionalCallingCode |
P247
|
FINISHED |
| Object | +8806 (Dhaka Division area code family) |
—
|
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: +8806 (Dhaka Division area code family) | Statement: [Madaripur District, hasRegionalCallingCode, +8806 (Dhaka Division area code family)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalCallingCode Context triple: [Madaripur District, hasRegionalCallingCode, +8806 (Dhaka Division area code family)]
-
A.
hasAreaCodeCountry
Indicates that a particular telephone area code is associated with or belongs to a specific country.
-
B.
callingCode
chosen
Indicates the telephone country or area code associated with an entity for making phone calls.
-
C.
hasIslandDialingCode
Indicates that an island is associated with a particular telephone dialing code used for placing calls to it.
-
D.
continentCode
Indicates the standardized code assigned to the continent with which an entity is associated.
-
E.
numericCountryCode
Indicates that a country is associated with a specific numeric code that uniquely identifies it.
- 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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e005f7f48190b2c538bfc79a83b2 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:28 p.m.