Triple
T4818420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Gronau (Seven Years' War) |
E107647
|
entity |
| Predicate | stageOfWar |
P21863
|
FINISHED |
| Object | later stages of the Seven Years' War |
—
|
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: later stages of the Seven Years' War | Statement: [Battle of Gronau (Seven Years' War), stageOfWar, later stages of the Seven Years' War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageOfWar Context triple: [Battle of Gronau (Seven Years' War), stageOfWar, later stages of the Seven Years' War]
-
A.
statusDuringWar
Indicates the role, condition, or classification an entity held specifically during a period of war.
-
B.
nomDeGuerre
Indicates that an entity uses or is known by a pseudonymous or war-related alias instead of their real name.
-
C.
majorWar
Indicates a large-scale, intense armed conflict between major powers or involving substantial military forces and widespread impact.
-
D.
warPeriod
chosen
Indicates a time span during which a state of war or armed conflict is ongoing between parties.
-
E.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.