Triple
T28461287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kočevje |
E720160
|
entity |
| Predicate | warHistory |
P160765
|
FINISHED |
| Object | population changes during and after World War II |
—
|
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: population changes during and after World War II | Statement: [Kočevje, warHistory, population changes during and after World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warHistory Context triple: [Kočevje, warHistory, population changes during and after World War II]
-
A.
worldWar
Indicates a large-scale armed conflict involving multiple nations across different regions of the world, typically encompassing numerous battles, alliances, and theaters of war.
-
B.
worldWarIService
Indicates that an entity served or participated in military service during World War I.
-
C.
militaryHistoryTopic
Indicates that there exists a relationship where the subject is a topic, theme, or subject matter specifically concerned with military history.
-
D.
postWarHistory
chosen
Indicates a relationship where something concerns, describes, or belongs to the historical period and events following a specific war.
-
E.
majorWar
Indicates a large-scale, intense armed conflict between major powers or involving substantial military forces and widespread impact.
- 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_69f01a58a67c819097936d9e8da8d6e6 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64ea596448190bf7c3cf5f1220770 |
completed | May 2, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 2:40 a.m.