Triple
T25737223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Döllersheim parish |
E645406
|
entity |
| Predicate | timeOfMajorDepopulation |
P154146
|
FINISHED |
| Object | early 1940s |
—
|
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: early 1940s | Statement: [Döllersheim parish, timeOfMajorDepopulation, early 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMajorDepopulation Context triple: [Döllersheim parish, timeOfMajorDepopulation, early 1940s]
-
A.
yearOfMajorMigration
Indicates the specific year in which a significant migration event involving the subject took place.
-
B.
depopulatedDuring
chosen
Indicates that a place lost most or all of its population during a specified time period or event.
-
C.
timePeriodOfMajorDispossession
Indicates the time span during which the primary or most significant act of dispossession occurred.
-
D.
populationBeforeDestruction
Indicates the number of individuals in a place or group prior to its destruction or elimination.
-
E.
timePeriodOfMajorDestruction
Indicates the time span during which a major destructive event affecting the subject occurred.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 21, 2026, 11:28 p.m.