Triple

T1983098
Position Surface form Disambiguated ID Type / Status
Subject Carentan-les-Marais E43073 entity
Predicate nearbyDdayBeaches P6268 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: [Carentan-les-Marais, nearbyDdayBeaches, Utah Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utah Beach
Context triple: [Carentan-les-Marais, nearbyDdayBeaches, 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: nearbyDdayBeaches
Context triple: [Carentan-les-Marais, nearbyDdayBeaches, Utah Beach]
  • A. hasBeach
    Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
  • B. hasNearbyCoast
    Indicates that one location is situated close to a coastline or seashore.
  • C. sisterBeaches chosen
    Indicates a relationship between two beaches where they are considered counterparts or closely linked, often due to similarities, proximity, or a formal pairing.
  • D. distanceFromCoast
    Indicates the measured spatial separation between a location and the nearest point on a coastline.
  • E. shoreType
    Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb96f932881908bebfc4176fda7c0 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032e1f648190acb502b9f82fe8c2 completed March 8, 2026, 11:15 p.m.
PD Predicate disambiguation batch_69abb798d288819083132cf14605bd02 completed March 7, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:37 p.m.