Triple

T19390276
Position Surface form Disambiguated ID Type / Status
Subject Samtskhe region E485046 entity
Predicate containsTown P847 FINISHED
Object Akhalkalaki NE NERFINISHED

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: Akhalkalaki | Statement: [Samtskhe region, containsTown, Akhalkalaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akhalkalaki
Context triple: [Samtskhe region, containsTown, Akhalkalaki]
  • A. Akhalkalaki chosen
    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.
  • B. Akhaltsikhe
    Akhaltsikhe is a historic city in southern Georgia known for its multicultural heritage and the restored Rabati Castle complex.
  • C. Abastumani
    Abastumani is a small resort town in southern Georgia, historically known for its mountain climate and therapeutic sanatoriums.
  • D. Ambrolauri
    Ambrolauri is a small town in western Georgia that serves as the administrative center of the Racha region, known for its mountainous scenery and local wine production.
  • E. Bakuriani
    Bakuriani is a popular ski resort town in Georgia known for its alpine scenery, winter sports facilities, and role as a year-round mountain tourism destination.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b4328448190b6347c41265e820c completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.