Triple
T17263373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaiserschlacht |
E419060
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Aisne sector |
E1236651
|
NE 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: Aisne sector | Statement: [Kaiserschlacht, location, Aisne sector]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aisne sector Context triple: [Kaiserschlacht, location, Aisne sector]
-
A.
Aisne-Marne
Aisne-Marne refers to a major World War I campaign and battlefield in France, notably associated with the Second Battle of the Marne.
-
B.
Yser Front
The Yser Front was a key World War I defensive line in western Belgium where Belgian forces halted the German advance along the Yser River.
-
C.
Aisne battlefields
chosen
The Aisne battlefields are a series of World War I combat zones in northern France, known for multiple major offensives and trench warfare along the Aisne River.
-
D.
Crépy-en-Valois
Crépy-en-Valois is a commune in the Oise department of northern France, known for its historic medieval center and role as a regional rail terminus.
-
E.
Armentières
Armentières is a commune in northern France near the Belgian border, historically known for its textile industry and World War I significance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4379848190add32ba8e5f93527 |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0179445cac8190833eb7cd879a93bd |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:40 a.m.