Triple

T581921
Position Surface form Disambiguated ID Type / Status
Subject RNAS Dunkirk E15076 entity
Predicate location P40 FINISHED
Object Dunkirk E33602 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: Dunkirk | Statement: [RNAS Dunkirk, location, Dunkirk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunkirk
Context triple: [RNAS Dunkirk, location, 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 chosen
    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. 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.
  • D. 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.
  • E. 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.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b84899881909d5b2b4e67e22d9b completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a508a025308190ac35a5e3606de4de completed March 2, 2026, 3:48 a.m.
Created at: March 1, 2026, 7:33 p.m.