Triple

T15050379
Position Surface form Disambiguated ID Type / Status
Subject Nakhichevan uezd E379342 entity
Predicate borderedBy P224 FINISHED
Object Alexandropol uezd E80370 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: Alexandropol uezd | Statement: [Nakhichevan uezd, borderedBy, Alexandropol uezd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandropol uezd
Context triple: [Nakhichevan uezd, borderedBy, Alexandropol uezd]
  • A. Alexandropol uezd chosen
    Alexandropol uezd was an administrative district of the Russian Empire in the South Caucasus, centered on the town of Alexandropol (now Gyumri in Armenia).
  • B. Dzhankoi
    Dzhankoi is a town in northern Crimea that serves as a key regional transport hub, particularly for rail connections across the peninsula and to mainland areas.
  • C. Bilhorod
    Bilhorod is a key urban center in the historical Sloboda Ukraine region, known for its regional administrative and cultural significance.
  • D. Erivan uezd
    Erivan uezd was an administrative district of the Russian Empire located within the Erivan Governorate in the South Caucasus region.
  • E. Berehove
    Berehove is a town in western Ukraine’s Zakarpattia region known for its significant Hungarian community, thermal baths, and wine-making traditions.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8f71988190b4fe7f7de4ccb798 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5bbdbc08190b020537fd1cbc11f completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3:01 a.m.