Triple

T10042875
Position Surface form Disambiguated ID Type / Status
Subject Racha region E205337 entity
Predicate contains P35 FINISHED
Object Mravaldzali
Mravaldzali is a village located in Georgia’s mountainous Racha region, known for its scenic landscapes and traditional rural character.
 E837585 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: Mravaldzali | Statement: [Racha region, contains, Mravaldzali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mravaldzali
Context triple: [Racha region, contains, Mravaldzali]
  • A. Garliava
    Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
  • B. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • C. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • D. Gavro
    Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
  • E. Dazaga
    Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
  • 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: Mravaldzali
Triple: [Racha region, contains, Mravaldzali]
Generated description
Mravaldzali is a village located in Georgia’s mountainous Racha region, known for its scenic landscapes and traditional rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mravaldzali
Target entity description: Mravaldzali is a village located in Georgia’s mountainous Racha region, known for its scenic landscapes and traditional rural character.
  • A. Garliava
    Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
  • B. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • C. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • D. Gavro
    Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
  • E. Dazaga
    Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf60a2208190846e57b5f5649307 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28278235c8190a5e833a9586bd3f5 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d28391f8fc8190964cdccaf5625617 completed April 5, 2026, 3:45 p.m.
NED2 Entity disambiguation (via description) batch_69d284604dc88190b452ee847d3390dd completed April 5, 2026, 3:48 p.m.
Created at: March 30, 2026, 8:55 p.m.