Triple
T13483549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reims-Maison-Blanche station |
E318434
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | Reims-Maison-Blanche |
E1042012
|
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: Reims-Maison-Blanche | Statement: [Reims-Maison-Blanche station, hasStationCode, Reims-Maison-Blanche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reims-Maison-Blanche Context triple: [Reims-Maison-Blanche station, hasStationCode, Reims-Maison-Blanche]
-
A.
Reims-Maison-Blanche
chosen
Reims-Maison-Blanche is a railway station serving the city of Reims in the Marne department of northeastern France.
-
B.
La Roche-Guyon
La Roche-Guyon is a picturesque village in northern France on the banks of the Seine, known for its historic château built into limestone cliffs.
-
C.
Chavignol
Chavignol is a small village in France’s Loire Valley renowned for its traditional goat’s milk cheese, Crottin de Chavignol.
-
D.
Champenois
Champenois is a Romance regional language historically spoken in parts of northeastern France and adjacent areas of Wallonia in Belgium.
-
E.
Boucicaut
Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
- 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_69f75d8c942481909858e340944ed57c |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:42 p.m.