Triple

T4396892
Position Surface form Disambiguated ID Type / Status
Subject Ushguli E99512 entity
Predicate hasLandmark P105 FINISHED
Object Lamaria Church
Lamaria Church is a historic medieval Georgian Orthodox church overlooking the village of Ushguli in the mountainous Svaneti region of Georgia.
E435973 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: Lamaria Church | Statement: [Ushguli, hasLandmark, Lamaria Church]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamaria Church
Context triple: [Ushguli, hasLandmark, Lamaria Church]
  • A. Talgje Church
    Talgje Church is a historic parish church located on the island of Talgje in Rogaland county, Norway.
  • B. Gemarke Church
    Gemarke Church is a notable Christian church located in the Barmen district of Wuppertal, Germany.
  • C. Seglora Church
    Seglora Church is a historic wooden country church from western Sweden, now preserved and displayed at the Skansen open-air museum in Stockholm.
  • D. Pantánassa Church
    Pantánassa Church is a small Byzantine-era Greek Orthodox church in central Athens, notable for its historic architecture and prominent location in Monastiraki.
  • E. Hammerfest Church
    Hammerfest Church is a modern parish church in Hammerfest, Norway, known for its distinctive post-war architecture and role as a central landmark in the town.
  • 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: Lamaria Church
Triple: [Ushguli, hasLandmark, Lamaria Church]
Generated description
Lamaria Church is a historic medieval Georgian Orthodox church overlooking the village of Ushguli in the mountainous Svaneti region of Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lamaria Church
Target entity description: Lamaria Church is a historic medieval Georgian Orthodox church overlooking the village of Ushguli in the mountainous Svaneti region of Georgia.
  • A. Talgje Church
    Talgje Church is a historic parish church located on the island of Talgje in Rogaland county, Norway.
  • B. Gemarke Church
    Gemarke Church is a notable Christian church located in the Barmen district of Wuppertal, Germany.
  • C. Seglora Church
    Seglora Church is a historic wooden country church from western Sweden, now preserved and displayed at the Skansen open-air museum in Stockholm.
  • D. Pantánassa Church
    Pantánassa Church is a small Byzantine-era Greek Orthodox church in central Athens, notable for its historic architecture and prominent location in Monastiraki.
  • E. Hammerfest Church
    Hammerfest Church is a modern parish church in Hammerfest, Norway, known for its distinctive post-war architecture and role as a central landmark in the town.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352aca86c8190b5af7e6600072066 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e53ae7bc8190b216319e522b11c6 completed March 14, 2026, 10:46 p.m.
NEDg Description generation batch_69b5e5f8b9bc8190abb35710e2ddbe5e completed March 14, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_69b5e62af694819086b3eddb71f591d2 completed March 14, 2026, 10:50 p.m.
Created at: March 12, 2026, 11:20 p.m.