Triple

T11711638
Position Surface form Disambiguated ID Type / Status
Subject Tbilisi Central railway station E278385 entity
Predicate connectsToCity P4245 FINISHED
Object Poti E41301 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: Poti | Statement: [Tbilisi Central railway station, connectsToCity, Poti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poti
Context triple: [Tbilisi Central railway station, connectsToCity, 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. 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.
  • D. 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.
  • E. Vlora
    Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4be10088190854699385d1f6a95 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0196916e081908671e79765d03778 completed April 28, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:40 p.m.