Triple
T3965191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/El_Salvador |
E92199
|
entity |
| Predicate | observesStandardTimeName |
P6028
|
FINISHED |
| Object | Central Standard Time (CST) |
—
|
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: Central Standard Time (CST) | Statement: [America/El_Salvador, observesStandardTimeName, Central Standard Time (CST)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observesStandardTimeName Context triple: [America/El_Salvador, observesStandardTimeName, Central Standard Time (CST)]
-
A.
observedAsStandardTimeIn
chosen
Indicates that a particular time standard is used as the official or standard time within a specified place or region.
-
B.
standardTimeName
Indicates the official name assigned to a particular standard time used in a region or context.
-
C.
daylightSavingTimeName
Indicates the specific name or label used for the time zone during daylight saving time.
-
D.
observesDaylightSavingTimeFor
Indicates that one entity follows or applies a specific daylight saving time scheme or rule for another entity (such as a place, time zone, or period).
-
E.
DSTobserved
Indicates that daylight saving time is in effect or being observed for a given time, date, or location.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefba878a48190a2e234d775215938 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef8efcf3c81908ccf61d9ce26b0c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:31 p.m.