Triple
T2930646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy |
E78951
|
entity |
| Predicate | historicRegion |
P915
|
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: [Nancy, historicRegion, Lorraine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorraine Context triple: [Nancy, historicRegion, 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.
Touraine
Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
-
D.
Alsace
Alsace is a historical and cultural region in northeastern France known for its blend of French and German influences, picturesque villages, and renowned wines.
-
E.
Picardy
Picardy is a historical region in northern France known for its strategic location, rich medieval heritage, and significant role in European conflicts.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad980191388190ac2455a7d9867be3 |
completed | March 8, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eed825108190b3db9728d0c95fd6 |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 2:55 p.m.