Triple

T15795326
Position Surface form Disambiguated ID Type / Status
Subject მთაწმინდა E382961 entity
Predicate near P350 FINISHED
Object ვერის უბანი
ვერის უბანი არის თბილისის ისტორიული და კულტურულად მნიშვნელოვანი უბანი, რომელიც ცნობილია ძველი არქიტექტურით, პარკითა და ცენტრალურ მდებარეობით.
 E1176681 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: ვერის უბანი | Statement: [მთაწმინდა, near, ვერის უბანი]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ვერის უბანი
Context triple: [მთაწმინდა, near, ვერის უბანი]
  • A. 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.
  • B. Welver
    Welver is a municipality in the German state of North Rhine-Westphalia, situated in the Soest district within the historic region of Westphalia.
  • C. Wubulkarra
    Wubulkarra is a lesser-known Yolŋu Aboriginal language of northern Australia, traditionally spoken by Yolŋu people in Arnhem Land.
  • D. Verson
    Verson is a commune in the Calvados department of the Normandy region in northwestern France.
  • E. Vasi-weri
    Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
  • 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: ვერის უბანი
Triple: [მთაწმინდა, near, ვერის უბანი]
Generated description
ვერის უბანი არის თბილისის ისტორიული და კულტურულად მნიშვნელოვანი უბანი, რომელიც ცნობილია ძველი არქიტექტურით, პარკითა და ცენტრალურ მდებარეობით.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ვერის უბანი
Target entity description: ვერის უბანი არის თბილისის ისტორიული და კულტურულად მნიშვნელოვანი უბანი, რომელიც ცნობილია ძველი არქიტექტურით, პარკითა და ცენტრალურ მდებარეობით.
  • A. 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.
  • B. Welver
    Welver is a municipality in the German state of North Rhine-Westphalia, situated in the Soest district within the historic region of Westphalia.
  • C. Wubulkarra
    Wubulkarra is a lesser-known Yolŋu Aboriginal language of northern Australia, traditionally spoken by Yolŋu people in Arnhem Land.
  • D. Verson
    Verson is a commune in the Calvados department of the Normandy region in northwestern France.
  • E. Vasi-weri
    Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
  • 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.