Triple

T21697164
Position Surface form Disambiguated ID Type / Status
Subject Zugdidi railway station E535553 entity
Predicate connectsTo P845 FINISHED
Object Poti NE NERFINISHED

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: Poti | Statement: [Zugdidi railway station, connectsTo, Poti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poti
Context triple: [Zugdidi railway station, connectsTo, Poti]
  • A. Poti chosen
    Poti is a port city on Georgia’s Black Sea coast that serves as a major maritime and transportation hub for the country.
  • B. Saranda
    Saranda is a coastal city in southern Albania on the Ionian Sea, known for its strategic harbor and role in regional military and maritime history.
  • C. Sarandë
    Sarandë is a coastal city in southern Albania on the Ionian Sea, known for its beaches, tourism, and proximity to the UNESCO World Heritage site of Butrint.
  • D. 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.
  • E. Durrës
    Durrës is a major port city on the Adriatic coast of Albania, historically significant as a strategic maritime gateway and one of the country’s oldest urban centers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46a6ee481908836e1420fb78c9b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b7b8da48190a863ac45eb4465a8 completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:45 p.m.