Triple

T15114008
Position Surface form Disambiguated ID Type / Status
Subject Guria E360987 entity
Predicate hasTown P847 FINISHED
Object Chokhatauri E82887 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: Chokhatauri | Statement: [Guria, hasTown, Chokhatauri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chokhatauri
Context triple: [Guria, hasTown, Chokhatauri]
  • A. Chokhatauri chosen
    Chokhatauri is a small town in western Georgia that serves as an administrative and economic center in the Guria region.
  • B. Chtaura
    Chtaura is a commercial and transportation hub town in Lebanon, strategically located on the main route between Beirut and Damascus in the Beqaa Valley.
  • C. Chakosi
    Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
  • D. Chorokhi
    Chorokhi is a river in the South Caucasus that flows from northeastern Turkey into southwestern Georgia before emptying into the Black Sea.
  • E. Chorlu
    Chorlu is a historical name for the Turkish city of Çorlu, an industrial and transportation hub in the Tekirdağ Province of European Turkey.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eccb988190aae27dd28cf50997 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.