Triple

T12808267
Position Surface form Disambiguated ID Type / Status
Subject Asia/Ust-Nera E306200 entity
Predicate locationComponent P15574 FINISHED
Object Ust-Nera E1050664 NE FINISHED

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: Ust-Nera | Statement: [Asia/Ust-Nera, locationComponent, Ust-Nera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ust-Nera
Context triple: [Asia/Ust-Nera, locationComponent, Ust-Nera]
  • A. Ust-Nera chosen
    Ust-Nera is a remote urban-type settlement in northeastern Russia’s Sakha Republic, known for its extremely cold climate and role as a regional mining and transport hub in the upper Indigirka River basin.
  • B. Verkhorechye
    Verkhorechye is a small settlement located near the Alma River, likely in the Crimean region of Eastern Europe.
  • C. Urzhum
    Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
  • D. Nagatinskaya
    Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
  • E. Ust-Sheksna
    Ust-Sheksna is the former historical name of the Russian town now known as Rybinsk, an important port city on the Volga River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ac916748190821c0cdabe54fcbc completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 5:31 p.m.