Triple
T21107573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World at War 1914–1945 |
E520088
|
entity |
| Predicate | treatsWorldWarsAs |
P142879
|
FINISHED |
| Object | linked conflicts rather than separate wars |
—
|
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: linked conflicts rather than separate wars | Statement: [The World at War 1914–1945, treatsWorldWarsAs, linked conflicts rather than separate wars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsWorldWarsAs Context triple: [The World at War 1914–1945, treatsWorldWarsAs, linked conflicts rather than separate wars]
-
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.
worldWarIPartOf
Indicates that an event or entity is a component, phase, or subset of World War I.
-
D.
duringWorldWar
Indicates that one entity’s action, state, or relationship occurred within the temporal span of World War II.
-
E.
majorWar
Indicates a large-scale, intense armed conflict between major powers or involving substantial military forces and widespread impact.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e720fe800c81909edf215c5f1f27c2 |
completed | April 21, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:53 p.m.