Triple
T13483539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reims-Maison-Blanche station |
E318434
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | city of Reims |
E9677
|
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: city of Reims | Statement: [Reims-Maison-Blanche station, serves, city of Reims]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Reims Context triple: [Reims-Maison-Blanche station, serves, city of Reims]
-
A.
Reims
chosen
Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
-
B.
Grand Reims
Grand Reims is an urban community in northeastern France that groups Reims and surrounding municipalities to coordinate regional governance and development.
-
C.
Laon
Laon is a historic hilltop city in northern France known for its well-preserved medieval architecture and impressive Gothic cathedral.
-
D.
city of Orléans
The city of Orléans is a historic French city on the Loire River, best known for its association with Joan of Arc and its role in the Hundred Years’ War.
-
E.
Troyes
Troyes is a historic city in northeastern France, known for its well-preserved medieval old town, half-timbered houses, and Gothic churches.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463715dc8190a70a17b3ea661006 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.