Triple
T4841043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roscoff |
E108179
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Roscoff ferry terminal |
E474293
|
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: Roscoff ferry terminal | Statement: [Roscoff, hasPart, Roscoff ferry terminal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roscoff ferry terminal Context triple: [Roscoff, hasPart, Roscoff ferry terminal]
-
A.
Port of Roscoff
chosen
The Port of Roscoff is a ferry and commercial harbor in Brittany, France, serving as a key maritime link between France, the United Kingdom, and Ireland.
-
B.
Port of Boulogne-sur-Mer
The Port of Boulogne-sur-Mer is a major French fishing and commercial harbor on the English Channel, known as one of Europe’s leading seafood ports.
-
C.
Port of Rouen
The Port of Rouen is a major French inland seaport and grain-export hub located on the River Seine between Paris and the English Channel.
-
D.
Port of Le Havre
The Port of Le Havre is one of France’s largest and busiest seaports, serving as a major gateway for maritime trade on the English Channel and the North Sea.
-
E.
Roscoff, France
Roscoff, France is a small coastal town in Brittany known for its historic port, thalassotherapy centers, and traditional onion-growing heritage.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cfbfbb08190b4580ebb2eb845b2 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67d449188190a2f02fa30aee4891 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:25 p.m.