Triple

T6791309
Position Surface form Disambiguated ID Type / Status
Subject Inkeri E155937 entity
Predicate traditionalAreaNear P49478 FINISHED
Object Saint Petersburg E916 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: Saint Petersburg | Statement: [Inkeri, traditionalAreaNear, Saint Petersburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Petersburg
Context triple: [Inkeri, traditionalAreaNear, Saint Petersburg]
  • A. Saint Petersburg Federal City
    Saint Petersburg Federal City is a major Russian federal subject centered on the historic city of Saint Petersburg, a key cultural, scientific, and industrial hub in northwestern Russia.
  • 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. St. Petersburg
    St. Petersburg is the fictional Mississippi River town that serves as the central backdrop for Mark Twain’s classic novel "The Adventures of Tom Sawyer."
  • D. St. Petersburg chosen
    St. Petersburg is a major Russian port city on the Baltic Sea, renowned for its imperial architecture, cultural heritage, and role as a historic capital of Russia.
  • E. Ekaterinodar
    Ekaterinodar, now known as Krasnodar, was a major city in southern Russia that served as an important political and military center in the Kuban region.
  • 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: traditionalAreaNear
Context triple: [Inkeri, traditionalAreaNear, Saint Petersburg]
  • A. neighborhood
    Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
  • B. traditionalDistrict chosen
    Indicates that an entity is located in, associated with, or belongs to a historically recognized or customary administrative or cultural district.
  • C. residesNear
    Indicates that one entity lives or is located in close physical proximity to another entity.
  • D. nearbyUrbanCenter
    Indicates that one location is geographically close to an urban center, such as a city or large town.
  • E. featuresRegionalProximity
    Indicates that one entity is located near or in close geographic proximity to a particular region or another entity.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2acbfc0819081f2d6cebfb91765 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a749d4c81908c9b2d4cf1e0f606 completed March 28, 2026, 12:01 a.m.
PD Predicate disambiguation batch_69c6d0979ce0819094678896da4e3169 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:15 p.m.