Triple

T16412695
Position Surface form Disambiguated ID Type / Status
Subject Kizlyar–Pervomayskoye hostage crisis E398604 entity
Predicate location P40 FINISHED
Object Kizlyar E227590 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: Kizlyar | Statement: [Kizlyar–Pervomayskoye hostage crisis, location, Kizlyar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kizlyar
Context triple: [Kizlyar–Pervomayskoye hostage crisis, location, Kizlyar]
  • A. Kizlyar chosen
    Kizlyar is a town in the Republic of Dagestan, Russia, known historically as a frontier settlement and trading center in the North Caucasus region.
  • B. Shamkir
    Shamkir is a town in western Azerbaijan known as a regional center with historical significance and a growing agricultural and industrial economy.
  • C. Bulaq
    Bulaq is a historic district of Cairo, Egypt, known for its past role as a major port and commercial hub along the Nile.
  • D. Bulaq
    Bulaq were a Turkic tribal group historically associated with the Karluk confederation in Central Asia.
  • E. Khasavyurt
    Khasavyurt is a significant urban center in the Republic of Dagestan, Russia, known as an important regional hub in the North Caucasus.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32875bad08190bc3e2218df8c1b07 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f457b8c8190b278697ef43301cb completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:09 a.m.