Triple

T15795316
Position Surface form Disambiguated ID Type / Status
Subject მთაწმინდა E382961 entity
Predicate hasViewOf P854 FINISHED
Object ნარიყალა
ნარიყალა არის თბილისის უძველესი ციხე-კომპლექსი, რომელიც ქალაქის ერთ-ერთ მთავარ ისტორიულ და ტურისტულ ღირსშესანიშნაობად ითვლება.
 E1176680 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: ნარიყალა | Statement: [მთაწმინდა, hasViewOf, ნარიყალა]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ნარიყალა
Context triple: [მთაწმინდა, hasViewOf, ნარიყალა]
  • A. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • B. Nakir
    Nakir is an Islamic angel who, alongside Munkar, questions the dead in their graves to test their faith.
  • C. Narvarte
    Narvarte is a centrally located neighborhood in Mexico City known for its residential character, mid-20th-century architecture, and growing array of restaurants, cafes, and nightlife.
  • D. Kvareli
    Kvareli is a town in eastern Georgia’s Kakheti region, known for its wine production, historic fortress, and scenic location in the Alazani Valley near the Caucasus Mountains.
  • E. Nimarata
    Nimarata is the birth name of American politician Nikki Haley, who served as U.S. ambassador to the United Nations and governor of South Carolina.
  • 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: ნარიყალა
Triple: [მთაწმინდა, hasViewOf, ნარიყალა]
Generated description
ნარიყალა არის თბილისის უძველესი ციხე-კომპლექსი, რომელიც ქალაქის ერთ-ერთ მთავარ ისტორიულ და ტურისტულ ღირსშესანიშნაობად ითვლება.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ნარიყალა
Target entity description: ნარიყალა არის თბილისის უძველესი ციხე-კომპლექსი, რომელიც ქალაქის ერთ-ერთ მთავარ ისტორიულ და ტურისტულ ღირსშესანიშნაობად ითვლება.
  • A. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • B. Nakir
    Nakir is an Islamic angel who, alongside Munkar, questions the dead in their graves to test their faith.
  • C. Narvarte
    Narvarte is a centrally located neighborhood in Mexico City known for its residential character, mid-20th-century architecture, and growing array of restaurants, cafes, and nightlife.
  • D. Kvareli
    Kvareli is a town in eastern Georgia’s Kakheti region, known for its wine production, historic fortress, and scenic location in the Alazani Valley near the Caucasus Mountains.
  • E. Nimarata
    Nimarata is the birth name of American politician Nikki Haley, who served as U.S. ambassador to the United Nations and governor of South Carolina.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4dc887081909d682ae153f06d97 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90aea81c8190ad8bc0cdedf4b77a completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff93b24828819092841bc02059995d completed May 9, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff9435b800819093985b293a541e46 completed May 9, 2026, 8:08 p.m.
Created at: April 10, 2026, 4:48 a.m.