Triple
T76496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Bogota |
E1527
|
entity |
| Predicate | ianaZoneFormat |
P719
|
FINISHED |
| Object | Area/Location |
—
|
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: Area/Location | Statement: [America/Bogota, ianaZoneFormat, Area/Location]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ianaZoneFormat Context triple: [America/Bogota, ianaZoneFormat, Area/Location]
-
A.
IANATimeZoneIdentifierExample
chosen
Indicates that the relationship provides an example of an IANA time zone identifier corresponding to a given time zone or context.
-
B.
hasTimeZones
Indicates that an entity is associated with one or more time zones in which it is valid or operates.
-
C.
DSTAbbreviation
Indicates that one entity is the standard abbreviated form used to represent another entity related to daylight saving time.
-
D.
timeZoneHistorical
Indicates that there is a historical time zone relationship, specifying how an entity’s time zone (including offsets, rules, or changes) applied during past periods.
-
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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2559892dc81909303f2eefdc0025f |
completed | Feb. 28, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69a24eaf99e481908e8d314577e22ecf |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.