Triple

T4635692
Position Surface form Disambiguated ID Type / Status
Subject Holy Trinity Cathedral of Tbilisi E101524 entity
Predicate commonName P570 FINISHED
Object Sameba
Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
 E456726 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: Sameba | Statement: [Holy Trinity Cathedral of Tbilisi, commonName, Sameba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sameba
Context triple: [Holy Trinity Cathedral of Tbilisi, commonName, Sameba]
  • A. Shamiya
    Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • B. Sambali
    Sambali is an Austronesian language spoken by the Sambal people of the Zambales region in the Philippines.
  • C. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • D. Shobijin
    Shobijin are the tiny twin priestesses who serve as Mothra’s mystical spokespeople and guardians in the Godzilla and broader kaiju film universe.
  • E. Sendagi
    Sendagi is a traditional residential neighborhood in Tokyo known for its preserved shitamachi atmosphere, narrow streets, and historic temples and shops.
  • 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: Sameba
Triple: [Holy Trinity Cathedral of Tbilisi, commonName, Sameba]
Generated description
Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sameba
Target entity description: Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
  • A. Shamiya
    Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • B. Sambali
    Sambali is an Austronesian language spoken by the Sambal people of the Zambales region in the Philippines.
  • C. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • D. Shobijin
    Shobijin are the tiny twin priestesses who serve as Mothra’s mystical spokespeople and guardians in the Godzilla and broader kaiju film universe.
  • E. Sendagi
    Sendagi is a traditional residential neighborhood in Tokyo known for its preserved shitamachi atmosphere, narrow streets, and historic temples and shops.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a60a66c8190b76f3d3a7da1df55 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfac76734819083ef44d346f62b86 completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfb70b9d48190a32c5cc753c45aab completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc54e194819080b1eb5b9f0dfe9e completed March 21, 2026, 2:03 a.m.
Created at: March 20, 2026, 1:13 p.m.