Triple

T13907461
Position Surface form Disambiguated ID Type / Status
Subject Lamas Pavilion E334392 entity
Predicate locatedIn P40 FINISHED
Object Pushkin, Saint Petersburg E59142 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: Pushkin, Saint Petersburg | Statement: [Lamas Pavilion, locatedIn, Pushkin, Saint Petersburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pushkin, Saint Petersburg
Context triple: [Lamas Pavilion, locatedIn, Pushkin, Saint Petersburg]
  • A. Pushkin, Saint Petersburg chosen
    Pushkin is a historic suburban town of Saint Petersburg, Russia, renowned for the Catherine Palace, its landscaped parks, and its association with the poet Alexander Pushkin.
  • B. Saint Petersburg, Russian Empire
    Saint Petersburg, Russian Empire was the imperial capital and cultural center of Russia, renowned for its grand architecture, canals, and role as a major European metropolis.
  • C. Pushkino
    Pushkino is a town in Russia that serves as a suburban residential and industrial center northeast of Moscow.
  • D. Lomonosov (Oranienbaum)
    Lomonosov (Oranienbaum) is a historic town near Saint Petersburg, Russia, known for its imperial palaces, parks, and role as a former royal residence.
  • E. Pushkinskaya
    Pushkinskaya is a Moscow Metro station located in the city center, known for serving the busy Tverskaya area and providing convenient transfers on the network.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25dc26cc8190a7909980b1d34933 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d44d848190ab445833e64a6bfc completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:16 p.m.