Triple
T22180653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TER Grand Est |
E548158
|
entity |
| Predicate | serviceAreaIncludes |
P82
|
FINISHED |
| Object | Alsace |
—
|
NE NERFINISHED |
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: Alsace | Statement: [TER Grand Est, serviceAreaIncludes, Alsace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alsace Context triple: [TER Grand Est, serviceAreaIncludes, Alsace]
-
A.
Alsace
Alsace is a station on the Lille Metro system in northern France, serving local urban transit passengers.
-
B.
Alsace
chosen
Alsace is a historical and cultural region in northeastern France known for its blend of French and German influences, picturesque villages, and renowned wines.
-
C.
Alsacia
Alsacia is a Madrid Metro station on Line 2 serving the San Blas-Canillejas district in eastern Madrid, Spain.
-
D.
Ballon d’Alsace
Ballon d’Alsace is a prominent mountain peak in the southern Vosges of northeastern France, known for its scenic vistas, hiking and cycling routes, and role as a historic climb in the Tour de France.
-
E.
Alsace-Lorraine
Alsace-Lorraine is a historically contested border region between France and Germany, known for its mixed cultural heritage and strategic importance in European conflicts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa4d4ac8190922b919c15623963 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.