Triple
T3965184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/El_Salvador |
E92199
|
entity |
| Predicate | standardTimeAllYear |
P53642
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [America/El_Salvador, standardTimeAllYear, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardTimeAllYear Context triple: [America/El_Salvador, standardTimeAllYear, true]
-
A.
standardTimeType
Indicates that a time value is expressed using a particular standard or conventional time format or classification.
-
B.
standardTimeName
Indicates the official name assigned to a particular standard time used in a region or context.
-
C.
standardTimeCounterpart
Indicates that one time representation is the corresponding value expressed in a standard or canonical time format for the other.
-
D.
isStandardTime
Indicates that a given time value is expressed in standard (non-daylight-saving) time for its associated time zone.
-
E.
isStandardTimeFor
Indicates that a specified time zone or region is currently observing its standard (non-daylight-saving) time.
- 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_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. |
| PDg | Predicate description generation | batch_69aefba6b9848190a7b0fb66100a2a0c |
completed | March 9, 2026, 4:56 p.m. |
Created at: March 9, 2026, 3:31 p.m.