Triple

T588175
Position Surface form Disambiguated ID Type / Status
Subject Guria E17206 entity
Predicate capital P234 FINISHED
Object Ozurgeti
Ozurgeti is a city in western Georgia that serves as the administrative and cultural center of the Guria region.
 E74258 NE FINISHED

How this triple was built (4 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: Ozurgeti | Statement: [Guria, capital, Ozurgeti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ozurgeti
Context triple: [Guria, capital, Ozurgeti]
  • A. Aneto
    Aneto is the tallest mountain in the Pyrenees, located in the Spanish province of Huesca and renowned for its glaciers and popular alpine climbing routes.
  • B. Piedrahíta
    Piedrahíta is a historic town in the province of Ávila, Castile and León, Spain, known for its medieval heritage and noble connections.
  • C. Jaca
    Jaca is a town in northeastern Spain, in the Pyrenees of Aragon, known as a mountain resort and former candidate host city for the Winter Olympics.
  • D. Guasca
    Guasca is a small town and municipality in the Cundinamarca Department of Colombia, known for its rural landscapes and proximity to the Chingaza National Natural Park.
  • E. Tinogasta
    Tinogasta is a town in northwestern Argentina known for its wine production, hot springs, and location along the Andean mountain routes in Catamarca Province.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ozurgeti
Triple: [Guria, capital, Ozurgeti]
Generated description
Ozurgeti is a city in western Georgia that serves as the administrative and cultural center of the Guria region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ozurgeti
Target entity description: Ozurgeti is a city in western Georgia that serves as the administrative and cultural center of the Guria region.
  • A. Aneto
    Aneto is the tallest mountain in the Pyrenees, located in the Spanish province of Huesca and renowned for its glaciers and popular alpine climbing routes.
  • B. Piedrahíta
    Piedrahíta is a historic town in the province of Ávila, Castile and León, Spain, known for its medieval heritage and noble connections.
  • C. Jaca
    Jaca is a town in northeastern Spain, in the Pyrenees of Aragon, known as a mountain resort and former candidate host city for the Winter Olympics.
  • D. Guasca
    Guasca is a small town and municipality in the Cundinamarca Department of Colombia, known for its rural landscapes and proximity to the Chingaza National Natural Park.
  • E. Tinogasta
    Tinogasta is a town in northwestern Argentina known for its wine production, hot springs, and location along the Andean mountain routes in Catamarca Province.
  • F. None of above. chosen

Provenance (5 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9d1e68819096a9b5e7b2e83d6e completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5155210dc8190bad32b49703641e2 completed March 2, 2026, 4:42 a.m.
NEDg Description generation batch_69a51788f870819099271dcb41ee4bda completed March 2, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69a51846caa481909a61fa29a44b7470 completed March 2, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:33 p.m.