Triple
T16605429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gravelines |
E403436
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Porte de Dunkerque
Porte de Dunkerque is a historic fortified gate in the town of Gravelines in northern France, reflecting the region’s military and architectural heritage.
|
E1223822
|
NE FINISHED |
How this triple was built (4 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: Porte de Dunkerque | Statement: [Gravelines, hasLandmark, Porte de Dunkerque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porte de Dunkerque Context triple: [Gravelines, hasLandmark, Porte de Dunkerque]
-
A.
Dunkirk
Dunkirk is a 2017 war film directed by Christopher Nolan that depicts the World War II evacuation of Allied soldiers from the beaches of Dunkirk, France.
-
B.
Dunkirk
Dunkirk is a small rural civil parish and village in the county of Kent in southeast England.
-
C.
Dunkirk
Dunkirk is a coastal town in northern France best known as the site of the World War II evacuation of Allied troops in 1940.
-
D.
Dunkerque
Dunkerque is a coastal city and major port in northern France on the North Sea, near the Belgian border, known for its strategic role in World War II.
-
E.
Pas de Calais
Pas de Calais is the French name for the Strait of Dover, the narrowest part of the English Channel separating France and England.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Porte de Dunkerque Triple: [Gravelines, hasLandmark, Porte de Dunkerque]
Generated description
Porte de Dunkerque is a historic fortified gate in the town of Gravelines in northern France, reflecting the region’s military and architectural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porte de Dunkerque Target entity description: Porte de Dunkerque is a historic fortified gate in the town of Gravelines in northern France, reflecting the region’s military and architectural heritage.
-
A.
Dunkirk
Dunkirk is a 2017 war film directed by Christopher Nolan that depicts the World War II evacuation of Allied soldiers from the beaches of Dunkirk, France.
-
B.
Dunkirk
Dunkirk is a coastal town in northern France best known as the site of the World War II evacuation of Allied troops in 1940.
-
C.
Dunkirk
Dunkirk is a small rural civil parish and village in the county of Kent in southeast England.
-
D.
Dunkerque
Dunkerque is a coastal city and major port in northern France on the North Sea, near the Belgian border, known for its strategic role in World War II.
-
E.
Pas de Calais
Pas de Calais is the French name for the Strait of Dover, the narrowest part of the English Channel separating France and England.
- F. None of above. chosen
Provenance (5 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36090cf388190b401c55230912104 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007daa9f7c8190a9540d9a7a6ca6fb |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e6507208190b3f32c05a2f647bd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f2cefa081908734a907da33a72f |
completed | May 10, 2026, 12:50 p.m. |
Created at: April 10, 2026, 5:17 a.m.