Triple

T20724423
Position Surface form Disambiguated ID Type / Status
Subject Hyman Bloom E509397 entity
Predicate birthPlace P1 FINISHED
Object Riga, Latvia NE NERFINISHED

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: Riga, Latvia | Statement: [Hyman Bloom, birthPlace, Riga, Latvia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riga, Latvia
Context triple: [Hyman Bloom, birthPlace, Riga, Latvia]
  • A. Riga
    Riga is a town in the Sitamarhi district of the Indian state of Bihar.
  • B. Riga chosen
    Riga is the capital and largest city of Latvia, a historic cultural and economic hub on the Baltic Sea known for its Art Nouveau architecture and significant port.
  • C. Liepāja, Latvia
    Liepāja is a major port city on Latvia’s Baltic Sea coast, known for its historic architecture, naval heritage, and cultural life.
  • D. Aizkraukle, Latvia
    Aizkraukle is a small town in central Latvia on the right bank of the Daugava River, known as a regional administrative center and former Soviet-era hydroelectric power plant settlement.
  • E. Riga Planning Region
    Riga Planning Region is an administrative planning area in Latvia that encompasses the capital city of Riga and its surrounding municipalities for regional development and coordination.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1e662f08190917ee043612d413e completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:28 p.m.