Triple

T20675672
Position Surface form Disambiguated ID Type / Status
Subject AARI E508152 entity
Predicate parentOrganization P254 FINISHED
Object Roshydromet 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: Roshydromet | Statement: [AARI, parentOrganization, Roshydromet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roshydromet
Context triple: [AARI, parentOrganization, Roshydromet]
  • A. Roshydromet chosen
    Roshydromet is the Russian federal service responsible for hydrometeorology, environmental monitoring, and related scientific research and forecasting.
  • B. Syzran
    Syzran is a historic industrial city on the Volga River in western Russia, known for its oil refining, engineering industries, and regional transport significance.
  • C. Shadrinsk
    Shadrinsk is a town in Kurgan Oblast, Russia, known as an industrial and cultural center in the southern Ural region.
  • D. Mechetlinsk
    Mechetlinsk is the former name of Dimitrovgrad, a city in Ulyanovsk Oblast, Russia, known today as an important industrial and scientific center.
  • E. Makrinitsa
    Makrinitsa is a traditional mountain village in Greece known for its preserved stone architecture, panoramic views over Volos, and location on the slopes of Mount Pelion.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cf18b48190be6995e197946517 completed April 20, 2026, 11:25 p.m.
Created at: April 16, 2026, 11:44 a.m.