Triple

T5218447
Position Surface form Disambiguated ID Type / Status
Subject Mount Tetnuldi E117809 entity
Predicate near P350 FINISHED
Object Mestia E111421 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: Mestia | Statement: [Mount Tetnuldi, near, Mestia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mestia
Context triple: [Mount Tetnuldi, near, Mestia]
  • A. Mestia chosen
    Mestia is a highland town in northwestern Georgia, renowned as a cultural and tourist hub of the Svaneti region in the Caucasus Mountains.
  • 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. Abastumani
    Abastumani is a small resort town in southern Georgia, historically known for its mountain climate and therapeutic sanatoriums.
  • D. Dvin
    Dvin was a major medieval Armenian city that served as a political, economic, and religious center and at times as the capital of Armenia.
  • E. Khankendi
    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.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a96d49c8190a58726a57edebdcc completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefebe3b081909f3fe50cf3d73653 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.