Triple

T5667905
Position Surface form Disambiguated ID Type / Status
Subject Zugdidi E124901 entity
Predicate isSeatOf P62 FINISHED
Object Zugdidi Municipality 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 Municipality | Statement: [Zugdidi, isSeatOf, Zugdidi Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zugdidi Municipality
Context triple: [Zugdidi, isSeatOf, Zugdidi Municipality]
  • A. Kazbegi Municipality
    Kazbegi Municipality is a mountainous administrative district in northeastern Georgia, known for its dramatic Caucasus landscapes and the town of Stepantsminda near Mount Kazbek.
  • B. Pshavi
    Pshavi is a historic highland region in northeastern Georgia known for its mountainous landscapes, traditional villages, and rich folk culture.
  • C. Zugdidi chosen
    Zugdidi is a city in western Georgia that serves as the main urban and administrative center of the Samegrelo region.
  • D. 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.
  • E. Zestafoni
    Zestafoni is a town in western Georgia known as an important industrial and transportation hub, particularly for its ferroalloy plant and railway connections.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023471f688190acec330596238a50 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04dafb6b081909c5bf1527f185819 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:43 p.m.