Triple

T19841365
Position Surface form Disambiguated ID Type / Status
Subject Gmina Krynica-Zdrój E476736 entity
Predicate containsSettlement P847 FINISHED
Object Berest
Berest is a village in southern Poland located within the administrative district of Gmina Krynica-Zdrój in the Lesser Poland Voivodeship.
E1398805 NE FINISHED

How this triple was built (4 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: Berest | Statement: [Gmina Krynica-Zdrój, containsSettlement, Berest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berest
Context triple: [Gmina Krynica-Zdrój, containsSettlement, Berest]
  • A. Beltsy
    Beltsy is an alternative name for Bălți, a major city in northern Moldova known as an important economic and cultural center.
  • B. Berdiansk
    Berdiansk is a port city on the northern coast of the Sea of Azov in southeastern Ukraine, known for its beaches and resort facilities.
  • C. Matorf
    Matorf is a district or locality within the town of Lemgo in the German state of North Rhine-Westphalia.
  • D. Moghiliov-Podolsk
    Moghiliov-Podolsk is the Romanian name for Mogilev-Podilskyi, a city in western Ukraine located on the Dniester River near the border with Moldova.
  • E. Berdichev
    Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Berest
Triple: [Gmina Krynica-Zdrój, containsSettlement, Berest]
Generated description
Berest is a village in southern Poland located within the administrative district of Gmina Krynica-Zdrój in the Lesser Poland Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berest
Target entity description: Berest is a village in southern Poland located within the administrative district of Gmina Krynica-Zdrój in the Lesser Poland Voivodeship.
  • A. Beltsy
    Beltsy is an alternative name for Bălți, a major city in northern Moldova known as an important economic and cultural center.
  • B. Berdiansk
    Berdiansk is a port city on the northern coast of the Sea of Azov in southeastern Ukraine, known for its beaches and resort facilities.
  • C. Matorf
    Matorf is a district or locality within the town of Lemgo in the German state of North Rhine-Westphalia.
  • D. Moghiliov-Podolsk
    Moghiliov-Podolsk is the Romanian name for Mogilev-Podilskyi, a city in western Ukraine located on the Dniester River near the border with Moldova.
  • E. Berdichev
    Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
  • F. None of above. chosen

Provenance (5 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580576748190b85e234b01209ae7 completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d438c0208190a6d5b6781b99d37e completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d8082bfc81909db58a0477c4d55f completed May 16, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_6a07d8744bdc8190adfcc428ff55e790 completed May 16, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:51 p.m.