Triple
T8720015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TER Bretagne |
E206986
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Pontivy |
E337826
|
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: Pontivy | Statement: [TER Bretagne, connectsCity, Pontivy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pontivy Context triple: [TER Bretagne, connectsCity, Pontivy]
-
A.
Pontivy
chosen
Pontivy is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval center and Napoleonic-era architecture along the Blavet River.
-
B.
Pontavenais
Pontavenais is the French demonym for inhabitants of the town of Pont-Aven in Brittany.
-
C.
Bynea
Bynea is a village in Carmarthenshire, Wales, situated near the Loughor estuary and forming part of the Llanelli urban area.
-
D.
Damsay
Damsay is a small uninhabited island in the Orkney archipelago of Scotland, known for its low-lying terrain and archaeological remains.
-
E.
Beaufoy
Beaufoy is an English surname most notably borne by Oscar-winning screenwriter Simon Beaufoy.
- 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.