Triple
T3922489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific/Chatham |
E93192
|
entity |
| Predicate | usesQuarterHourOffset |
P51683
|
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: [Pacific/Chatham, usesQuarterHourOffset, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesQuarterHourOffset Context triple: [Pacific/Chatham, usesQuarterHourOffset, true]
-
A.
hasHalfHourOffset
Indicates that one entity’s time zone differs from another’s by an offset that includes a 30-minute (half-hour) component.
-
B.
isHalfHourTimeZone
Indicates that a time zone has an offset from Coordinated Universal Time (UTC) that differs by a half-hour increment rather than a whole hour.
-
C.
isThreeQuartersOfAnHourAheadOf
Indicates that one entity’s time occurs exactly 45 minutes later than the other entity’s time.
-
D.
usesUTCOffset
Indicates that one entity applies or relies on the specified UTC time offset for timekeeping or timestamp interpretation.
-
E.
hasUniqueHalfHourDST
Indicates that the entity observes a daylight saving time offset that differs from standard time by a unique half-hour increment rather than a whole hour.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed7a553c81909b65f8287293ecac |
completed | March 9, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb5f859c819095b61f5ba8eace4f |
completed | March 9, 2026, 3:46 p.m. |
Created at: March 9, 2026, 3:22 p.m.