Triple

T8683419
Position Surface form Disambiguated ID Type / Status
Subject Egrisi E206092 entity
Predicate borders P224 FINISHED
Object Tao-Klarjeti E466618 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: Tao-Klarjeti | Statement: [Egrisi, borders, Tao-Klarjeti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tao-Klarjeti
Context triple: [Egrisi, borders, Tao-Klarjeti]
  • A. Tao-Klarjeti chosen
    Tao-Klarjeti is a medieval Georgian historical region known as a major political, cultural, and religious center of early Georgian statehood and Christian monastic life.
  • B. Ta-Ha
    Ta-Ha is a chapter (Surah 20) of the Qur’an known for its eloquent narration of the stories of prophets—especially Moses—and its themes of divine guidance, mercy, and spiritual reflection.
  • C. Ṭūs
    Ṭūs is an ancient city in northeastern Iran, historically significant as a cultural and intellectual center and best known as the birthplace and burial place of the Persian poet Ferdowsi.
  • D. Tao
    Tao is the central, ineffable principle in Chinese philosophy and religion, especially Taoism, representing the fundamental way or path underlying the universe and natural order.
  • E. Tao
    Tao is a Chinese surname shared by numerous individuals, including the renowned mathematician Terence Tao.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae9da3c8190866e24970a7aeba3 completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3c3c74c81908cd9e881d5963492 completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.