Triple

T12618233
Position Surface form Disambiguated ID Type / Status
Subject Maly Petrovsky Bridge E301309 entity
Predicate hasRiverCrossed P225 FINISHED
Object Malaya Nevka E60916 NE FINISHED

How this triple was built (3 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: Malaya Nevka | Statement: [Maly Petrovsky Bridge, hasRiverCrossed, Malaya Nevka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaya Nevka
Context triple: [Maly Petrovsky Bridge, hasRiverCrossed, Malaya Nevka]
  • A. Malaya Nevka chosen
    Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
  • B. Navalnaya
    Navalnaya is the surname of Yulia Navalnaya, a Russian public figure and the widow of opposition leader Alexei Navalny.
  • C. Rizhskaya
    Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
  • D. Nakhimovskaya
    Nakhimovskaya is an alternative form of the Russian place name Nakhimovskoye, typically reflecting feminine grammatical gender in Russian toponymy.
  • E. Komsomolskaya
    Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRiverCrossed
Context triple: [Maly Petrovsky Bridge, hasRiverCrossed, Malaya Nevka]
  • A. crossedByRiver chosen
    Indicates that a river passes across or through a specified area, feature, or route.
  • B. hasRiverCrossingType
    Indicates the type or nature of a river crossing associated with an entity (e.g., bridge, ford, ferry).
  • C. hasCanalCrossing
    Indicates that one entity is connected to or traversed by another via a canal crossing, such as a bridge, aqueduct, or similar structure over a canal.
  • D. waterwayTypeCrossed
    Indicates the specific kind of waterway (e.g., river, canal, stream) that is being crossed in the described relationship or action.
  • E. hasRiverCrossingNearby
    Indicates that there is a river crossing located in close proximity to the referenced entity or location.
  • F. None of above.

Provenance (4 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686d770881909850ffaf820171d9 completed May 2, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69d960b195108190ac25bd95e644ace4 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:13 p.m.