Triple

T15795313
Position Surface form Disambiguated ID Type / Status
Subject მთაწმინდა E382961 entity
Predicate locatedEastOf P4240 FINISHED
Object ვერა
ვერა არის თბილისის ცენტრალური უბანი, რომელიც ცნობილია თავისი ისტორიული არქიტექტურით, კულტურული სივრცეებითა და ურბანული ცხოვრების სტილით.
 E1176679 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: ვერა | Statement: [მთაწმინდა, locatedEastOf, ვერა]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ვერა
Context triple: [მთაწმინდა, locatedEastOf, ვერა]
  • A. VeRa
    VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
  • B. Vere
    Vere is the given name of Vere Gordon Childe, a prominent Australian archaeologist known for his influential theories on prehistoric societies and social evolution.
  • C. Versh
    Versh is a character in William Faulkner’s novel "The Sound and the Fury," serving as a childhood caretaker and companion to the Compson children.
  • D. Verran
    Verran is a former municipality in Trøndelag county, Norway, known for its rural landscapes, forestry, and fjord-side settlements.
  • E. Vereya
    Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
  • 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: ვერა
Triple: [მთაწმინდა, locatedEastOf, ვერა]
Generated description
ვერა არის თბილისის ცენტრალური უბანი, რომელიც ცნობილია თავისი ისტორიული არქიტექტურით, კულტურული სივრცეებითა და ურბანული ცხოვრების სტილით.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ვერა
Target entity description: ვერა არის თბილისის ცენტრალური უბანი, რომელიც ცნობილია თავისი ისტორიული არქიტექტურით, კულტურული სივრცეებითა და ურბანული ცხოვრების სტილით.
  • A. VeRa
    VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
  • B. Vere
    Vere is the given name of Vere Gordon Childe, a prominent Australian archaeologist known for his influential theories on prehistoric societies and social evolution.
  • C. Versh
    Versh is a character in William Faulkner’s novel "The Sound and the Fury," serving as a childhood caretaker and companion to the Compson children.
  • D. Verran
    Verran is a former municipality in Trøndelag county, Norway, known for its rural landscapes, forestry, and fjord-side settlements.
  • E. Vereya
    Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
  • 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.