Triple

T5602275
Position Surface form Disambiguated ID Type / Status
Subject Gurjaani E147146 entity
Predicate hasNearbyMajorCity P1982 FINISHED
Object Telavi E182137 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: Telavi | Statement: [Gurjaani, hasNearbyMajorCity, Telavi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telavi
Context triple: [Gurjaani, hasNearbyMajorCity, Telavi]
  • A. Telavi chosen
    Telavi is a historic city in eastern Georgia known as the cultural and economic center of the Kakheti wine-producing region.
  • B. 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.
  • C. Zugdidi
    Zugdidi is a city in western Georgia that serves as the main urban and administrative center of the Samegrelo region.
  • D. Zestafoni
    Zestafoni is a town in western Georgia known as an important industrial and transportation hub, particularly for its ferroalloy plant and railway connections.
  • E. Tskhinvali
    Tskhinvali is the capital city of the breakaway region of South Ossetia in the South Caucasus, serving as its political and administrative center.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020dbd6dc8190ba011876c205754e completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a142ae8c8190a8c4a02bb3f69ff2 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:39 p.m.