Triple

T127897
Position Surface form Disambiguated ID Type / Status
Subject Gold Beach E2589 entity
Predicate locatedIn P40 FINISHED
Object Normandy E23801 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: Normandy | Statement: [Gold Beach, locatedIn, Normandy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Normandy
Context triple: [Gold Beach, locatedIn, Normandy]
  • A. Normandy chosen
    Normandy is a historic region in northern France, famous for its medieval duchy, its role in the Norman Conquest of England, and as the site of the D-Day landings in World War II.
  • B. Arromanches-les-Bains
    Arromanches-les-Bains is a coastal town in Normandy, France, best known for its role in the D-Day landings and the remains of the Mulberry artificial harbor just offshore.
  • C. Touraine
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • D. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • E. France
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25763ccf8819094e8dffb2ff98480 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a311574d248190b4769473012a3106 completed Feb. 28, 2026, 4:01 p.m.
Created at: Feb. 28, 2026, 2:30 a.m.