Triple

T17948562
Position Surface form Disambiguated ID Type / Status
Subject Saint Petersburg suburban railways E448767 entity
Predicate connectsToTown P60933 FINISHED
Object Luga 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: Luga | Statement: [Saint Petersburg suburban railways, connectsToTown, Luga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luga
Context triple: [Saint Petersburg suburban railways, connectsToTown, Luga]
  • A. Luga chosen
    Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
  • B. Lugos
    Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
  • C. Lugana
    Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
  • D. Lugur
    Lugur is one of the small islands that make up Namoluk Atoll in the Federated States of Micronesia.
  • E. Ludag
    Ludag is a small coastal settlement on the island of South Uist in Scotland’s Outer Hebrides.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afaac780819097434b20b1f155d2 completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.