Triple

T13333592
Position Surface form Disambiguated ID Type / Status
Subject რუსთავი E317630 entity
Predicate hasIndustrialZone P13026 FINISHED
Object რუსთავის ინდუსტრიული ზონა E58417 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: რუსთავის ინდუსტრიული ზონა | Statement: [რუსთავი, hasIndustrialZone, რუსთავის ინდუსტრიული ზონა]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: რუსთავის ინდუსტრიული ზონა
Context triple: [რუსთავი, hasIndustrialZone, რუსთავის ინდუსტრიული ზონა]
  • A. რუსთავი
    რუსთავი არის საქართველოს ერთ-ერთი მნიშვნელოვანი ინდუსტრიული ქალაქი ქვემო ქართლში, თბილისთან ახლოს მდებარე.
  • B. Rustavi chosen
    Rustavi is an industrial city in southeastern Georgia, located near the capital Tbilisi and known for its steel production and Soviet-era urban planning.
  • C. Tskhumi
    Tskhumi is the historical name of the city now known as Sukhumi, a major Black Sea port and the capital of the disputed region of Abkhazia.
  • D. Kvasiny industrial zone
    Kvasiny industrial zone is a major automotive and manufacturing hub in the Hradec Králové Region of the Czech Republic, best known for hosting a large Škoda Auto production plant.
  • E. Tsakhuri
    Tsakhuri is an alternative name for the Tsakhur language, a Northeast Caucasian language spoken primarily in parts of Azerbaijan and Dagestan.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f36e4cc819093007404ceb5da31 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:30 p.m.