Triple
T8719862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transport Express Régional |
E206983
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | TER Bretagne |
E206986
|
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: TER Bretagne | Statement: [Transport Express Régional, hasPart, TER Bretagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TER Bretagne Context triple: [Transport Express Régional, hasPart, TER Bretagne]
-
A.
TER Bretagne
chosen
TER Bretagne is the regional rail network operated by SNCF that provides passenger train services throughout the Brittany region of France.
-
B.
Marine en Bretagne
Marine en Bretagne is a seascape painting by French Post-Impressionist artist Maxime Maufra, depicting the rugged coastal scenery of Brittany.
-
C.
La côte de Bretagne
La côte de Bretagne is a landscape painting by French artist Maxime Maufra depicting the rugged, windswept coastline of Brittany.
-
D.
Le Breton
Le Breton is a French surname borne by various notable figures, including publishers, politicians, and artists.
-
E.
Port de pêche en Bretagne
Port de pêche en Bretagne is a painting by French landscape and marine artist Maxime Maufra depicting a fishing port scene in the Brittany region of France.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d02a52c81909f93622ae6920b80 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28f599a481908e93bc5b5c41296e |
completed | April 3, 2026, 2:41 a.m. |
Created at: March 30, 2026, 6:36 p.m.