Triple
T4002837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caen Canal |
E89453
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Caen port system |
E99797
|
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: Caen port system | Statement: [Caen Canal, partOf, Caen port system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caen port system Context triple: [Caen Canal, partOf, Caen port system]
-
A.
Port of Dieppe
The Port of Dieppe is a major French English Channel harbor known for its ferry connections, fishing activities, and marina facilities serving the town of Dieppe in Normandy.
-
B.
Dieppe
Dieppe is a historic port city and seaside resort on the English Channel in northern France, known for its pebbled beaches, cliffs, and role in maritime trade and warfare.
-
C.
Dieppe
Dieppe is a rapidly growing city in southeastern New Brunswick, Canada, located next to Moncton and known for its strong Acadian culture and bilingual community.
-
D.
Caen
chosen
Caen is a historic city in Normandy, France, known for its medieval architecture, ties to William the Conqueror, and its role in the World War II Normandy campaign.
-
E.
Saint-Nazaire
Saint-Nazaire is a major Atlantic port city in western France, known for its shipbuilding industry and strategic location at the mouth of the Loire River.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa44125881909f45ecd0a986c581 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c61bad48190a5115dbd4a3457d6 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.