Triple
T3932681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouistreham |
E90830
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Ouistreham |
E90830
|
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: Port of Ouistreham | Statement: [Ouistreham, hasPort, Port of Ouistreham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Ouistreham Context triple: [Ouistreham, hasPort, Port of Ouistreham]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Great Yarmouth Port
Great Yarmouth Port is a commercial seaport on the east coast of England serving as a hub for offshore energy, cargo handling, and maritime services.
-
E.
Ouistreham
chosen
Ouistreham is a coastal town in Normandy, France, known for its ferry port and its location at the eastern end of the D-Day landing area of Sword Beach.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedaaf3c881909539831bf3a8bf10 |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52887d4a48190b51df3f51ff197c0 |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:23 p.m.