Triple

T1846811
Position Surface form Disambiguated ID Type / Status
Subject Poti E41301 entity
Predicate hasPort P35 FINISHED
Object Port of Poti E204190 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: Port of Poti | Statement: [Poti, hasPort, Port of Poti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Poti
Context triple: [Poti, hasPort, Port of Poti]
  • A. Black Sea port of Poti chosen
    The Black Sea port of Poti is a major Georgian seaport and transport hub that serves as a key gateway for maritime trade between the Caucasus region and international markets.
  • B. Batumi
    Batumi is a major Black Sea resort city in southwestern Georgia known for its beaches, modern skyline, and role as a regional economic and cultural hub.
  • C. Poti
    Poti is a port city on Georgia’s Black Sea coast that serves as a major maritime and transportation hub for the country.
  • D. Batumi International Airport
    Batumi International Airport is a major airport in western Georgia serving the Black Sea resort city of Batumi and the surrounding Adjara region.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb052e0a8819091bbc0da0e0a20fb completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeadb82048190a89aa8df26fa55f1 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:33 p.m.