Triple

T18936864
Position Surface form Disambiguated ID Type / Status
Subject Tyndinsky urban okrug E463270 entity
Predicate governs P760 FINISHED
Object Tynda urban area 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: Tynda urban area | Statement: [Tyndinsky urban okrug, governs, Tynda urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tynda urban area
Context triple: [Tyndinsky urban okrug, governs, Tynda urban area]
  • A. Tynda urban territory chosen
    Tynda urban territory is a municipal formation in Amur Oblast, Russia, centered on the town of Tynda, an important hub on the Baikal–Amur Mainline railway.
  • B. Garliava urban area
    Garliava urban area is a suburban settlement near Kaunas, Lithuania, functioning as part of the broader Kaunas metropolitan region.
  • C. Vilkija urban area
    Vilkija urban area is a small town-based urban settlement in central Lithuania that forms part of the broader Kaunas metropolitan region.
  • D. Sannahed urban area
    Sannahed urban area is a small locality in central Sweden situated within Kumla Municipality in Örebro County.
  • E. Krayot urban area
    Krayot urban area is a cluster of coastal suburban towns north of Haifa in Israel, functioning as its metropolitan extension.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e7b87c81909dc29defb33c8e00 completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.