Triple

T1329504
Position Surface form Disambiguated ID Type / Status
Subject Małkinia Górna E28608 entity
Predicate hasNameInPolish P15778 FINISHED
Object Małkinia Górna E28608 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: Małkinia Górna | Statement: [Małkinia Górna, hasNameInPolish, Małkinia Górna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Małkinia Górna
Context triple: [Małkinia Górna, hasNameInPolish, Małkinia Górna]
  • A. Malkinia Górna chosen
    Małkinia Górna is a village in northeastern Poland that served as a key railway junction near the Treblinka extermination camp during World War II.
  • B. Monowice
    Monowice is a village in southern Poland that became historically significant as the site of the Nazi German Auschwitz III-Monowitz labor camp during World War II.
  • C. Chełm mountain
    Chełm mountain is a scenic hill in southern Poland popular for hiking, skiing, and panoramic views over the town of Myślenice and the surrounding Beskid region.
  • D. Sucha Beskidzka
    Sucha Beskidzka is a small historic town in southern Poland, known for its picturesque Beskid mountain setting and its Renaissance-style castle.
  • E. Maków Beskids
    Maków Beskids is a mountain range in the Western Beskids of southern Poland, known for its rolling forested hills and small towns.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c30c948190afc6342b3dcda948 completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf32b488819095dc63d338a30b9b completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:55 p.m.