Triple

T16351680
Position Surface form Disambiguated ID Type / Status
Subject Tsova-Tush E397074 entity
Predicate culturallyAssociatedWith P9507 FINISHED
Object Khevsurs E115345 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: Khevsurs | Statement: [Tsova-Tush, culturallyAssociatedWith, Khevsurs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khevsurs
Context triple: [Tsova-Tush, culturallyAssociatedWith, Khevsurs]
  • A. Khevsureti chosen
    Khevsureti is a historic mountainous region in northeastern Georgia known for its medieval stone towers, remote villages, and preserved highland traditions.
  • B. Bolnisi
    Bolnisi is a town in southern Georgia known for its historic Bolnisi Sioni Cathedral and its diverse cultural heritage.
  • C. Akhaltsikhe
    Akhaltsikhe is a historic city in southern Georgia known for its multicultural heritage and the restored Rabati Castle complex.
  • D. Meskheti
    Meskheti is a historical region in southwestern Georgia known for its mountainous landscapes, strategic location along ancient trade routes, and culturally diverse heritage.
  • E. 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.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facbf60c8190aa47d4c45ff59354 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004575157c819098dbf27cf6641ff4 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:07 a.m.