Triple
T6760099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Spicheren |
E154568
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Lorraine |
E68529
|
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: Lorraine | Statement: [Battle of Spicheren, location, Lorraine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorraine Context triple: [Battle of Spicheren, location, Lorraine]
-
A.
Lorraine
chosen
Lorraine is a historical and cultural region in northeastern France known for its strategic location bordering Luxembourg, Germany, and Belgium, and for its mixed French-German heritage.
-
B.
Lower Lorraine
Lower Lorraine was a medieval duchy within the Holy Roman Empire that encompassed much of the Low Countries and parts of western Germany.
-
C.
French Lorraine
French Lorraine is a historical region in northeastern France whose culture reflects a blend of French and Germanic influences.
-
D.
Upper Lorraine
Upper Lorraine was a historical duchy in the Holy Roman Empire, centered in what is now northeastern France and parts of neighboring countries, known for its predominantly German-speaking population and strategic position between France and Germany.
-
E.
Alsacia
Alsacia is a Madrid Metro station on Line 2 serving the San Blas-Canillejas district in eastern Madrid, Spain.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d21143748190beaab2488971d65b |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712b0926c81909601f21407526fd9 |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:12 p.m.