Triple

T8969509
Position Surface form Disambiguated ID Type / Status
Subject Friedland E214227 entity
Predicate historicalNameOf P65 FINISHED
Object Pravdinsk E183630 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: Pravdinsk | Statement: [Friedland, historicalNameOf, Pravdinsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pravdinsk
Context triple: [Friedland, historicalNameOf, Pravdinsk]
  • A. Pravdinsk chosen
    Pravdinsk is a small town in Russia’s Kaliningrad Oblast, historically known as Friedland and noted as the site of a major 1807 Napoleonic battle.
  • B. Pravonín
    Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
  • C. Praviou
    Praviou is a mountain locality in Italy’s Gran Paradiso massif known as a common trailhead for hikes and ascents in the area.
  • D. Praděd
    Praděd is the highest mountain in the Hrubý Jeseník range and the entire Moravia region of the Czech Republic, known for its distinctive TV tower and popular hiking and skiing opportunities.
  • E. Prabuty
    Prabuty is a historic town in northern Poland known for its medieval heritage and location in the lake-dotted landscape of the former Warmia-Masuria region.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6765babc8190a4a3b79aa21047c8 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96006e48190978e4ccdedc48b41 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.