Triple

T15524164
Position Surface form Disambiguated ID Type / Status
Subject Grand Canal (Peterhof) E369040 entity
Predicate locatedIn P40 FINISHED
Object Petergof E83871 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: Petergof | Statement: [Grand Canal (Peterhof), locatedIn, Petergof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petergof
Context triple: [Grand Canal (Peterhof), locatedIn, Petergof]
  • A. Petergof chosen
    Petergof is a historic Russian town near Saint Petersburg, renowned for its grand imperial palaces, elaborate fountains, and landscaped parks along the Gulf of Finland.
  • B. Gatchina
    Gatchina is a historic Russian town near Saint Petersburg, known for its imperial palace complex and long association with the Romanov dynasty.
  • C. 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.
  • D. Oranienbaum
    Oranienbaum is a historic town in Saxony-Anhalt, Germany, known for its baroque palace and park landscape that form part of the UNESCO-listed Dessau-Wörlitz Garden Realm.
  • E. Shlisselburg
    Shlisselburg is a historic Russian town near Saint Petersburg, best known for its strategic fortress and former political prison on Lake Ladoga.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04143bda08190a2dee44918c1ad1c completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5706948190a1c0f466f7ef8857 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.