Triple
T2573087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountain Time in Mexico |
E57707
|
entity |
| Predicate | typicalAbbreviationStandard |
P714
|
FINISHED |
| Object | MST (Mountain Standard Time) |
—
|
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: MST (Mountain Standard Time) | Statement: [Mountain Time in Mexico, typicalAbbreviationStandard, MST (Mountain Standard Time)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAbbreviationStandard Context triple: [Mountain Time in Mexico, typicalAbbreviationStandard, MST (Mountain Standard Time)]
-
A.
isCommonAbbreviation
Indicates that one term is a widely used shortened or abbreviated form of another term.
-
B.
hasNameAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
-
C.
abbreviationUsedFor
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
-
D.
establishesAbbreviation
Indicates that one entity defines or introduces an abbreviated form that stands for another entity.
-
E.
abbreviationStandardTime
chosen
Indicates that one entity is the standard-time abbreviation (e.g., non-daylight-saving time short form) for the other entity.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3853c848190970e8a2da16d726d |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0ce4dcc8190b17a65abf9bd1bb0 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.