Triple
T22365939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CYYC |
E552903
|
entity |
| Predicate | associatedCountryCodePrefix |
P147380
|
FINISHED |
| Object | C |
—
|
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: C | Statement: [CYYC, associatedCountryCodePrefix, C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCountryCodePrefix Context triple: [CYYC, associatedCountryCodePrefix, C]
-
A.
associatedCountryCode
Indicates that there is a relationship linking something to the country identified by the given country code.
-
B.
continentCode
Indicates the standardized code assigned to the continent with which an entity is associated.
-
C.
nationalPrefixForDomesticCalls
Indicates the dialing prefix that must be used when making domestic telephone calls within a given country or numbering plan.
-
D.
countryCodeMeaning
Indicates the semantic meaning or description associated with a given country code.
-
E.
internationalPrefix
Indicates that one entity is the international dialing prefix used to place telephone calls from the other entity’s country to foreign destinations.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1580074dc819091305ac7017000d3 |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342e9a0081909257210a81c96b29 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:44 p.m.