Triple
T463872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Summer Time |
E8401
|
entity |
| Predicate | appliesDuringMonths |
P14304
|
FINISHED |
| Object | late March to late October |
—
|
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: late March to late October | Statement: [British Summer Time, appliesDuringMonths, late March to late October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesDuringMonths Context triple: [British Summer Time, appliesDuringMonths, late March to late October]
-
A.
hasMonth
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
B.
typicalMonthOfOccurrence
Indicates the month in which something most commonly or typically occurs.
-
C.
typicalMeetingMonth
Indicates the month in which an entity most commonly or usually holds its meetings.
-
D.
appliesAt
Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
-
E.
hasVariableMonth
Indicates that something is associated with or occurs in a month that can change rather than being fixed.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efc214788190a8dff20fec4412e0 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede8eac081908dffade6a5e7950b |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef06d2fc8190b379d575215a8518 |
completed | Feb. 28, 2026, 1:35 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.