Triple
T9083596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cogua |
E217693
|
entity |
| Predicate | hasCallingCodeType |
P17236
|
FINISHED |
| Object | Colombian telephone code |
—
|
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: Colombian telephone code | Statement: [Cogua, hasCallingCodeType, Colombian telephone code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCallingCodeType Context triple: [Cogua, hasCallingCodeType, Colombian telephone code]
-
A.
callingCodeType
chosen
Indicates the type or category of a telephone calling code associated with an entity.
-
B.
hasCallInNumber
Indicates that an entity has an associated telephone number designated for receiving incoming calls.
-
C.
callingCode
Indicates the telephone country or area code associated with an entity for making phone calls.
-
D.
hasAreaCodeCountry
Indicates that a particular telephone area code is associated with or belongs to a specific country.
-
E.
hasAreaCodeType
Indicates that an entity’s area code is associated with a specific type or classification of area code.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960b45fc8190adf4bdc41b103e86 |
completed | April 1, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:13 p.m.