Triple

T3529167
Position Surface form Disambiguated ID Type / Status
Subject Novosibirsk E74615 entity
Predicate populationRankAfter P49288 FINISHED
Object Moscow E1747 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: Moscow | Statement: [Novosibirsk, populationRankAfter, Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow
Context triple: [Novosibirsk, populationRankAfter, Moscow]
  • A. Moscow
    Moscow is a fictional character from the Spanish television series "Money Heist" (La Casa de Papel), known as a kind-hearted, blue-collar miner and the father of Denver who participates in the Royal Mint heist.
  • B. Moscow chosen
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • C. Pushkino
    Pushkino is a town in Russia that serves as a suburban residential and industrial center northeast of Moscow.
  • D. Elektrostal
    Elektrostal is an industrial city in Russia known for its metallurgical and engineering industries, located east of Moscow.
  • E. Sofya
    Sofya is the Russian given name of Sophia Tolstaya, the wife and muse of novelist Leo Tolstoy.
  • 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: populationRankAfter
Context triple: [Novosibirsk, populationRankAfter, Moscow]
  • A. populationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • B. hasPopulationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • C. hasPopulationRankInRegion
    Indicates that an entity has a specific population-based rank or position within a defined geographic region.
  • D. countryRankContext
    Indicates the relative position or ranking of a country within a specified contextual framework (such as economic, political, or performance-based criteria).
  • E. countryRanking
    Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
  • F. None of above. chosen

Provenance (5 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6e9188819093480b39f263ce75 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb7a4e5481908322a2f0c1bf8119 completed March 13, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69adae121a048190b03825a001d21f49 completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adb21a437c81908bca88d5e123d744 completed March 8, 2026, 5:30 p.m.
Created at: March 8, 2026, 3:19 p.m.