Triple
T19297408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assineau, Alberta |
E482600
|
entity |
| Predicate | locatedInTimeZoneStandard |
P109
|
FINISHED |
| Object | MST |
—
|
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 | Statement: [Assineau, Alberta, locatedInTimeZoneStandard, MST]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTimeZoneStandard Context triple: [Assineau, Alberta, locatedInTimeZoneStandard, MST]
-
A.
locatedInTimeZone
chosen
Indicates that an entity exists or an event occurs within the temporal bounds defined by a specific time zone.
-
B.
isLocatedInTimeZoneRegion
Indicates that one entity exists within or is associated with the temporal boundaries defined by a specific time zone region.
-
C.
locatedInTimeZoneUTCOffsetDST
Indicates that an entity exists or operates in a time zone that observes daylight saving time with a specified UTC offset during that DST period.
-
D.
partlyLocatedInTimeZone
Indicates that an entity’s extent overlaps multiple time zones, with at least part of it falling within the specified 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.
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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc86f8648190920d122bb141c6e5 |
completed | April 20, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:31 p.m.