Triple

T8649897
Position Surface form Disambiguated ID Type / Status
Subject Stepanakert E205071 entity
Predicate formerName P65 FINISHED
Object Khankendi E405041 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: Khankendi | Statement: [Stepanakert, formerName, Khankendi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khankendi
Context triple: [Stepanakert, formerName, Khankendi]
  • A. Khankendi chosen
    Khankendi is a city in the Nagorno-Karabakh region of the South Caucasus, internationally recognized as part of Azerbaijan and also known by its Armenian name Stepanakert.
  • B. Akhalkalaki
    Akhalkalaki is a town in southern Georgia known as a regional center in the Samtskhe–Javakheti area, historically significant and situated near the country’s border with Armenia.
  • C. Akhaltsikhe
    Akhaltsikhe is a historic city in southern Georgia known for its multicultural heritage and the restored Rabati Castle complex.
  • D. Mestia
    Mestia is a highland town in northwestern Georgia, renowned as a cultural and tourist hub of the Svaneti region in the Caucasus Mountains.
  • E. Yevlakh
    Yevlakh is a city in central Azerbaijan that serves as an important regional transport and agricultural hub.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4813d0548190b203e594acc38c8f completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccc166548190a1dd706041e4bfa2 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:29 p.m.