Triple
T13570468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunkirk, Kent |
E324144
|
entity |
| Predicate | civilParish |
P2739
|
FINISHED |
| Object |
Dunkirk
Dunkirk is a small rural civil parish and village in the county of Kent in southeast England.
|
E1049744
|
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: Dunkirk | Statement: [Dunkirk, Kent, civilParish, Dunkirk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunkirk Context triple: [Dunkirk, Kent, civilParish, Dunkirk]
-
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.
Darkest Hour
Darkest Hour is a 2017 historical drama film depicting Winston Churchill’s early days as British Prime Minister during World War II, starring Gary Oldman in an Oscar-winning performance.
-
D.
Dambusters
The Dambusters were an elite Royal Air Force squadron famed for their 1943 World War II raid using innovative bouncing bombs to destroy German dams.
-
E.
Downfall
Downfall is the codename for the planned but never executed Allied invasion of the Japanese home islands near the end of World War II.
- 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: Dunkirk Triple: [Dunkirk, Kent, civilParish, Dunkirk]
Generated description
Dunkirk is a small rural civil parish and village in the county of Kent in southeast England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dunkirk Target entity description: Dunkirk is a small rural civil parish and village in the county of Kent in southeast England.
-
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.
Darkest Hour
Darkest Hour is a 2017 historical drama film depicting Winston Churchill’s early days as British Prime Minister during World War II, starring Gary Oldman in an Oscar-winning performance.
-
D.
Dambusters
The Dambusters were an elite Royal Air Force squadron famed for their 1943 World War II raid using innovative bouncing bombs to destroy German dams.
-
E.
Downfall
Downfall is the codename for the planned but never executed Allied invasion of the Japanese home islands near the end of World War II.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00f5b8881908617f42d227ed137 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb61a40819099a62f65a68dff7b |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77640b5308190aaa50e8d5d871832 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f779178dc48190bb0de790de30d8b0 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:48 p.m.