Triple

T1074380
Position Surface form Disambiguated ID Type / Status
Subject Normandy E23801 entity
Predicate landingBeaches P1922 FINISHED
Object Utah Beach E14643 NE FINISHED

How this triple was built (3 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: Utah Beach | Statement: [Normandy, landingBeaches, Utah Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utah Beach
Context triple: [Normandy, landingBeaches, Utah Beach]
  • A. Utah Beach chosen
    Utah Beach was one of the five main Allied landing sites in Normandy during the D-Day invasion of World War II, located on the Cotentin Peninsula and primarily assaulted by American forces.
  • B. Omaha Beach
    Omaha Beach was one of the primary American landing sites in Normandy during the D-Day invasion of World War II, known for its intense combat and heavy casualties.
  • C. Sword Beach
    Sword Beach was one of the five main Allied invasion beaches in Normandy where British forces landed during the D-Day operations of World War II.
  • D. Juno Beach
    Juno Beach was one of the primary Allied landing sectors in Normandy where Canadian forces came ashore during the D-Day invasion of World War II.
  • E. Dieppe
    Dieppe is a historic port city and seaside resort on the English Channel in northern France, known for its pebbled beaches, cliffs, and role in maritime trade and warfare.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: landingBeaches
Context triple: [Normandy, landingBeaches, Utah Beach]
  • A. hasBeach chosen
    Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
  • B. landingArea
    Indicates that a location or surface serves as a designated area where something (such as an aircraft, object, or person) can land.
  • C. sisterBeaches
    Indicates a relationship between two beaches where they are considered counterparts or closely linked, often due to similarities, proximity, or a formal pairing.
  • D. beachedAt
    Indicates that something has come ashore and is stranded or resting on a beach at a particular location or time.
  • E. cityBeachNumber
    Indicates the number of beaches associated with a given city.
  • F. None of above.

Provenance (4 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92cbfd481909e2f928c1d06ebaa completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a9af14819091d4f2578c6b1c02 completed March 7, 2026, 3:22 p.m.
PD Predicate disambiguation batch_69a4b73844708190a16c9e9824ca2fb6 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.