Triple

T10311069
Position Surface form Disambiguated ID Type / Status
Subject Karakalpakstan E241889 entity
Predicate hasCity P316 FINISHED
Object Muynak E266642 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: Muynak | Statement: [Karakalpakstan, hasCity, Muynak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muynak
Context triple: [Karakalpakstan, hasCity, Muynak]
  • A. Moynaq chosen
    Moynaq is a former fishing town in western Uzbekistan that became infamous as a symbol of environmental disaster after the Aral Sea largely dried up, leaving the settlement stranded far from the receding shoreline.
  • B. Lankaran
    Lankaran is a city in southeastern Azerbaijan near the Caspian Sea, known for its subtropical climate, tea and citrus cultivation, and historical role as a regional administrative center.
  • C. Kalgin Island
    Kalgin Island is a sparsely populated island in Alaska’s Cook Inlet, known for its remote wilderness, fishing, and wildlife.
  • D. Angar-Burun
    Angar-Burun is a notable summit on the Chatyr-Dag mountain massif in Crimea, known for its karst landscapes and panoramic views.
  • E. Mangyshlak Peninsula
    The Mangyshlak Peninsula is a dry, sparsely populated landform in western Kazakhstan that juts into the Caspian Sea and is known for its desert landscapes and significant oil and gas resources.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32ac6c08190b23eb042b3ec284a completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d78ece88190885768c979b038df completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:47 a.m.