Triple

T2569907
Position Surface form Disambiguated ID Type / Status
Subject Eastern Georgia E57639 entity
Predicate containsCity P294 FINISHED
Object Marneuli E239865 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: Marneuli | Statement: [Eastern Georgia, containsCity, Marneuli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marneuli
Context triple: [Eastern Georgia, containsCity, Marneuli]
  • A. Marneuli chosen
    Marneuli is a town in southern Georgia known for its ethnically diverse population, particularly its large Azerbaijani community, and its role as an agricultural and regional trade center.
  • 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. Zugdidi
    Zugdidi is a city in western Georgia that serves as the main urban and administrative center of the Samegrelo region.
  • E. Martvili
    Martvili is a small town in western Georgia known for its scenic canyon, waterfalls, and historic monastery, making it a notable natural and cultural attraction in the Samegrelo region.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd382928c8190b6316f3db48d8e73 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf3f4c2c8190b9e91b30068bb1c5 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:48 p.m.