Triple

T10567644
Position Surface form Disambiguated ID Type / Status
Subject Milovice E249390 entity
Predicate near P350 FINISHED
Object Lysá nad Labem E238321 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: Lysá nad Labem | Statement: [Milovice, near, Lysá nad Labem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lysá nad Labem
Context triple: [Milovice, near, Lysá nad Labem]
  • A. Lysá nad Labem chosen
    Lysá nad Labem is a small historic town in the Central Bohemian Region of the Czech Republic, situated on the Elbe River and known for its Baroque architecture and cultural heritage.
  • B. Dvůr Králové nad Labem
    Dvůr Králové nad Labem is a town in the Czech Republic best known for its large safari-style zoo and rich textile-industry history.
  • C. Roudnice nad Labem
    Roudnice nad Labem is a historic town in the Czech Republic situated on the Elbe River, known for its Renaissance chateau and wine-making tradition.
  • D. Vrchlabí
    Vrchlabí is a Czech town in the northern Bohemian foothills of the Krkonoše (Giant) Mountains, known as a gateway to the nearby ski and mountain resort areas.
  • E. Třeboň
    Třeboň is a historic spa town in the Czech Republic renowned for its Renaissance architecture, fishpond landscapes, and long tradition of carp farming.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ef5848190b76d671ea2d26314 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6e6b0b081909c89d0e116cde87f completed April 12, 2026, 3:14 p.m.
Created at: April 6, 2026, 12:36 p.m.