Triple

T11788274
Position Surface form Disambiguated ID Type / Status
Subject Latvian Jews E280325 entity
Predicate massKillingSite P42677 FINISHED
Object Skede dunes near Liepāja E562336 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: Skede dunes near Liepāja | Statement: [Latvian Jews, massKillingSite, Skede dunes near Liepāja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skede dunes near Liepāja
Context triple: [Latvian Jews, massKillingSite, Skede dunes near Liepāja]
  • A. Liepāja beach chosen
    Liepāja beach is a long, sandy Baltic Sea shoreline in the Latvian city of Liepāja, known for its wide dunes, fine white sand, and popular seaside recreation.
  • B. Ventspils Beach
    Ventspils Beach is a popular sandy seaside destination on Latvia’s Baltic coast, known for its clean Blue Flag-certified shoreline and family-friendly recreational facilities.
  • C. Jaunliepāja
    Jaunliepāja is a district of the Latvian port city of Liepāja, known for its mix of residential areas and industrial heritage near the Baltic Sea coast.
  • D. Jekabpils
    Jekabpils is a town in southeastern Latvia known for its historic architecture and scenic location along the Daugava River.
  • E. Kegums
    Kegums is a town in central Latvia on the Daugava River, known for its major hydroelectric power plant and role in the country’s energy production.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be15fb2481908f514781ce2c617f completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130fd7b9881909e79ecb49fe98d30 completed April 28, 2026, 10:13 p.m.
Created at: April 8, 2026, 9:42 p.m.