Triple

T10989236
Position Surface form Disambiguated ID Type / Status
Subject Georgian–Azerbaijani border conflicts E259711 entity
Predicate affectedRegion P1586 FINISHED
Object Zaqatala E259670 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: Zaqatala | Statement: [Georgian–Azerbaijani border conflicts, affectedRegion, Zaqatala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaqatala
Context triple: [Georgian–Azerbaijani border conflicts, affectedRegion, Zaqatala]
  • A. Zakatala chosen
    Zakatala is a town in northwestern Azerbaijan known as an administrative and cultural center in the foothills of the Caucasus Mountains.
  • B. Taloqan
    Taloqan is a city in northeastern Afghanistan that serves as the capital of Takhar Province and a regional hub for trade and administration.
  • C. Dazaga
    Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
  • D. Zaqar
    Zaqar is OpenStack’s multi-tenant messaging and notification service that provides queuing and publish-subscribe capabilities for cloud applications.
  • E. Kushnar
    Kushnar is an alternative written form or spelling variant of the name Kushner.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b6d0b48190aaf959e2609d34e5 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e374639f1481908ea372b81a834f6f completed April 18, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:24 p.m.