Triple

T10042853
Position Surface form Disambiguated ID Type / Status
Subject Racha region E205337 entity
Predicate majorTown P316 FINISHED
Object Ambrolauri E68411 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: Ambrolauri | Statement: [Racha region, majorTown, Ambrolauri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambrolauri
Context triple: [Racha region, majorTown, Ambrolauri]
  • A. Ambrolauri chosen
    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.
  • B. Abastumani
    Abastumani is a small resort town in southern Georgia, historically known for its mountain climate and therapeutic sanatoriums.
  • C. 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.
  • D. Bolnisi
    Bolnisi is a town in southern Georgia known for its historic Bolnisi Sioni Cathedral and its diverse cultural heritage.
  • E. Pshavi
    Pshavi is a historic highland region in northeastern Georgia known for its mountainous landscapes, traditional villages, and rich folk culture.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf60a2208190846e57b5f5649307 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28278235c8190a5e833a9586bd3f5 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.