Triple

T21275352
Position Surface form Disambiguated ID Type / Status
Subject Ostróda County E524373 entity
Predicate contains P35 FINISHED
Object Morąg 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: Morąg | Statement: [Ostróda County, contains, Morąg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morąg
Context triple: [Ostróda County, contains, Morąg]
  • A. Morąg chosen
    Morąg is a small historic town in northern Poland known for its lakeside surroundings and location within the Warmian-Masurian Voivodeship.
  • B. Orlovika
    Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
  • C. Ocnele Mari
    Ocnele Mari is a small Romanian town in Vâlcea County, known historically for its salt mines and spa resources.
  • D. Ustronie Morskie
    Ustronie Morskie is a seaside resort village on the Baltic coast of northwestern Poland, known for its beaches and tourism.
  • E. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7365627a081908caea09097cca354 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:02 p.m.