Triple
T27968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chile Standard Time |
E558
|
entity |
| Predicate | typicalEndMonth |
P718
|
FINISHED |
| Object | September (transition to DST) |
—
|
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: September (transition to DST) | Statement: [Chile Standard Time, typicalEndMonth, September (transition to DST)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEndMonth Context triple: [Chile Standard Time, typicalEndMonth, September (transition to DST)]
-
A.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
B.
endDate
Indicates the point in time at which an event, state, or relationship stops being valid or comes to a conclusion.
-
C.
endYear
Indicates the year in which an event, state, or relationship comes to an end.
-
D.
DSTEndRule
chosen
Indicates the rule or condition that specifies when daylight saving time ends in a given timekeeping system.
-
E.
dateApproximate
Indicates that the associated date is not exact but estimated or approximate rather than precisely known.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24925607c8190a9ce7ec834f3e5bb |
completed | Feb. 28, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69a2486bd74c81908d32be3c7d22f51f |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.