Triple
T256162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Dunkirk |
E5441
|
entity |
| Predicate | place |
P373
|
FINISHED |
| Object |
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.
|
E33602
|
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: [Battle of Dunkirk, place, Dunkirk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunkirk Context triple: [Battle of Dunkirk, place, 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.
D-Day
D-Day was the massive Allied amphibious invasion of Nazi-occupied France on June 6, 1944, that marked a decisive turning point in World War II in Western Europe.
-
C.
Argo
Argo is a 2012 political thriller film directed by Ben Affleck that dramatizes a covert operation to rescue American hostages from Iran during the 1979–1981 crisis.
-
D.
Le Havre
Le Havre is a major French port city in Normandy, known as one of the country’s principal maritime and commercial gateways.
-
E.
Luftbrücke
Luftbrücke is the German term for the Berlin Airlift, the Allied operation that supplied West Berlin by air during the Soviet blockade of 1948–1949.
- 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: [Battle of Dunkirk, place, Dunkirk]
Generated description
Dunkirk is a coastal town in northern France best known as the site of the World War II evacuation of Allied troops in 1940.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dunkirk Target entity description: Dunkirk is a coastal town in northern France best known as the site of the World War II evacuation of Allied troops in 1940.
-
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.
D-Day
D-Day was the massive Allied amphibious invasion of Nazi-occupied France on June 6, 1944, that marked a decisive turning point in World War II in Western Europe.
-
C.
Argo
Argo is a 2012 political thriller film directed by Ben Affleck that dramatizes a covert operation to rescue American hostages from Iran during the 1979–1981 crisis.
-
D.
Le Havre
Le Havre is a major French port city in Normandy, known as one of the country’s principal maritime and commercial gateways.
-
E.
Luftbrücke
Luftbrücke is the German term for the Berlin Airlift, the Allied operation that supplied West Berlin by air during the Soviet blockade of 1948–1949.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d5669008190978bbd7308be11f7 |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3837479408190bb6e6f0eb6a7fe46 |
completed | March 1, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_69a384140aec8190ab918512cf088464 |
completed | March 1, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3848c0ed08190acf0d0e33ca8b41c |
completed | March 1, 2026, 12:13 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.