Triple

T5471658
Position Surface form Disambiguated ID Type / Status
Subject Gyumri E122847 entity
Predicate formerName P65 FINISHED
Object Alexandropol 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 | Statement: [Gyumri, formerName, Alexandropol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandropol
Context triple: [Gyumri, formerName, Alexandropol]
  • 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. Elizavetgrad
    Elizavetgrad was the former name of the city now known as Kropyvnytskyi, a regional center in central Ukraine that was part of the Russian Empire at the time of Grigory Zinoviev’s birth.
  • C. Akhmeta
    Akhmeta is a town in eastern Georgia known as a local center of the Kakheti region, situated near the foothills of the Greater Caucasus.
  • D. Bakhchisarai
    Bakhchisarai is a historic town in Crimea that served as the political and cultural center of the Crimean Tatar khans, renowned for its palaces, mosques, and oriental architecture.
  • E. Melitopol
    Melitopol is a strategically important industrial and transportation hub in southeastern Ukraine, known for its agricultural production and key road and rail connections.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd921d02188190b5c1eee7205ea88e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4895b77c819089629d2296a230bc completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.