Triple
T11269322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | #YoumEDifa |
E266769
|
entity |
| Predicate | peakUsageDay |
P34607
|
FINISHED |
| Object | 6 September |
—
|
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: 6 September | Statement: [#YoumEDifa, peakUsageDay, 6 September]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakUsageDay Context triple: [#YoumEDifa, peakUsageDay, 6 September]
-
A.
peakDay
Indicates the specific day on which a quantity, activity, or effect reaches its maximum level within a given period.
-
B.
usagePeak
chosen
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
-
C.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
D.
peakDays
Indicates the days on which something reaches its highest or most intense level of activity, usage, or occurrence.
-
E.
peakUse
Indicates the time, condition, or context in which something reaches its maximum level of use or intensity.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94f60d48190bc925c3cb88641a8 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.