Triple
T13124237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MXVER |
E311802
|
entity |
| Predicate | countryCodeMeaning |
P108178
|
FINISHED |
| Object | MX stands for Mexico |
—
|
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: MX stands for Mexico | Statement: [MXVER, countryCodeMeaning, MX stands for Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCodeMeaning Context triple: [MXVER, countryCodeMeaning, MX stands for Mexico]
-
A.
countryCodePart
Indicates that one entity is a segment or component of a standardized country code associated with another entity.
-
B.
countryCodeFormat
Indicates the standardized structure or pattern in which a country's code must be represented.
-
C.
countryCodeLength
Indicates the number of characters that a given country code consists of.
-
D.
UICCountryCode
Indicates that an entity is associated with a specific country identified by its UIC (International Union of Railways) country code.
-
E.
isCountryCode
Indicates that one entity is a valid country code designating the country represented by the other entity.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819946808190b41335fb1054accd |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:07 p.m.