Triple

T3869439
Position Surface form Disambiguated ID Type / Status
Subject Samtredia E91945 entity
Predicate connectedTo P37 FINISHED
Object Zugdidi E124901 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: Zugdidi | Statement: [Samtredia, connectedTo, Zugdidi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zugdidi
Context triple: [Samtredia, connectedTo, Zugdidi]
  • A. Zugdidi chosen
    Zugdidi is a city in western Georgia that serves as the main urban and administrative center of the Samegrelo region.
  • B. Tskhinvali
    Tskhinvali is the capital city of the breakaway region of South Ossetia in the South Caucasus, serving as its political and administrative center.
  • C. Rustavi
    Rustavi is an industrial city in southeastern Georgia, located near the capital Tbilisi and known for its steel production and Soviet-era urban planning.
  • D. Telavi
    Telavi is a historic city in eastern Georgia known as the cultural and economic center of the Kakheti wine-producing region.
  • E. Mtskheta
    Mtskheta is an ancient town in central Georgia and a UNESCO World Heritage Site, renowned as one of the country’s oldest continuously inhabited cities and a historic center of Georgian Christianity.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec533828819080f52dae15fdbecd completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53375ba7c819092449fe911bfc4fa completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:20 p.m.