Triple

T14583220
Position Surface form Disambiguated ID Type / Status
Subject Upper Pond E342245 entity
Predicate locatedIn P40 FINISHED
Object Tsarskoye Selo E66671 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: Tsarskoye Selo | Statement: [Upper Pond, locatedIn, Tsarskoye Selo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsarskoye Selo
Context triple: [Upper Pond, locatedIn, Tsarskoye Selo]
  • A. Tsarskoye Selo chosen
    Tsarskoye Selo is a former imperial residence near Saint Petersburg, Russia, famed for its opulent palaces, landscaped parks, and role as a cultural and historical center of the Russian Empire.
  • B. Detskoye Selo
    Detskoye Selo is the former Soviet-era name of the town now known as Pushkin, a historic suburb of Saint Petersburg famed for its imperial palaces and parks.
  • C. Gatchina
    Gatchina is a historic Russian town near Saint Petersburg, known for its imperial palace complex and long association with the Romanov dynasty.
  • D. Pavlovsk
    Pavlovsk is a town in southwestern Russia known as a local administrative and cultural center within Voronezh Oblast.
  • E. Pavlovsk
    Pavlovsk is a historic Russian town near Saint Petersburg, best known for its imperial palace and landscaped park that exemplify neoclassical architecture and design.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4209b988190ad2a7b2dead8ffed completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ba235c81909e0408ccf2be9628 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.