Triple
T2888887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudeten Germans |
E59571
|
entity |
| Predicate | populationPeakPeriod |
P42593
|
FINISHED |
| Object | interwar period |
—
|
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: interwar period | Statement: [Sudeten Germans, populationPeakPeriod, interwar period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationPeakPeriod Context triple: [Sudeten Germans, populationPeakPeriod, interwar period]
-
A.
circulationPeak
Indicates the highest level or maximum point reached in the circulation of something (such as money, media, or resources) within a given period or system.
-
B.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
C.
weekdayPeakDirectionService
Indicates that the service operates primarily during weekday peak travel periods in a specific direction.
-
D.
daytimePopulation
Indicates the number of people present in a given area during daytime hours, typically reflecting where people work or visit rather than where they reside.
-
E.
usagePeak
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04918908190aad08defd1b26d97 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdd96670c8190b727f9ac27dadf67 |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 10:04 p.m.