Triple
T6104510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Havana |
E136082
|
entity |
| Predicate | timeStandardAbbreviation |
P714
|
FINISHED |
| Object | 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: CST | Statement: [America/Havana, timeStandardAbbreviation, CST]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeStandardAbbreviation Context triple: [America/Havana, timeStandardAbbreviation, CST]
-
A.
abbreviationStandardTime
chosen
Indicates that one entity is the standard-time abbreviation (e.g., non-daylight-saving time short form) for the other entity.
-
B.
DSTAbbreviation
Indicates that one entity is the standard abbreviated form used to represent another entity related to daylight saving time.
-
C.
standardTimeName
Indicates the official name assigned to a particular standard time used in a region or context.
-
D.
standardTimeType
Indicates that a time value is expressed using a particular standard or conventional time format or classification.
-
E.
timeNotation
Indicates the specific system or format used to represent and write times (e.g., 12-hour vs 24-hour notation).
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3f8e5481909e85a60aaf319f66 |
completed | March 22, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.