Triple

T17523524
Position Surface form Disambiguated ID Type / Status
Subject Wyspa Tamka E426735 entity
Predicate hasNameInPolish P15778 FINISHED
Object Wyspa Tamka NE NERFINISHED

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: Wyspa Tamka | Statement: [Wyspa Tamka, hasNameInPolish, Wyspa Tamka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wyspa Tamka
Context triple: [Wyspa Tamka, hasNameInPolish, Wyspa Tamka]
  • A. Wyspa Tamka chosen
    Wyspa Tamka is a small island on the Oder River in Wrocław, Poland, known for its riverside location and role in the city’s network of river islands and bridges.
  • B. Ostrov
    Ostrov is a historic town in Pskov Oblast, Russia, known for its medieval architecture and role as a regional administrative and cultural center.
  • C. Matemo Island
    Matemo Island is a tropical island in northern Mozambique known for its white-sand beaches, coral reefs, and role as a luxury eco-tourism destination within the Quirimbas Archipelago.
  • D. Nilova Island
    Nilova Island is a small island in Russia’s Lake Seliger best known for the historic Nilov Monastery located on it.
  • E. Kampa Island
    Kampa Island is a picturesque, historic island in central Prague, known for its charming canals, parks, and views along the Vltava River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d4db60819096a03dbc4254850f completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.