Triple
T8720007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TER Bretagne |
E206986
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Saint-Brieuc |
E377295
|
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: Saint-Brieuc | Statement: [TER Bretagne, connectsCity, Saint-Brieuc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Brieuc Context triple: [TER Bretagne, connectsCity, Saint-Brieuc]
-
A.
Saint-Brieuc
chosen
Saint-Brieuc is a coastal city and the capital of the Côtes-d'Armor department in Brittany, northwestern France, known for its historic center and nearby bay.
-
B.
Morlaix
Morlaix is a historic town and port in the Finistère department of Brittany in northwestern France, known for its picturesque old center and impressive railway viaduct.
-
C.
Roscoff
Roscoff is a picturesque coastal town in Brittany, France, known for its historic port, thalassotherapy centers, and traditional onion-exporting heritage.
-
D.
Ploërmel
Ploërmel is a historic town in Brittany, northwestern France, known for its medieval heritage and role as an administrative center in the Morbihan department.
-
E.
Guérande
Guérande is a historic fortified town in western France renowned for its medieval walls and traditional sea-salt marshes.
- 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_69cf516d9d9081909230441dd349dc9e |
completed | April 3, 2026, 5:34 a.m. |
Created at: March 30, 2026, 6:36 p.m.