Triple

T2015107
Position Surface form Disambiguated ID Type / Status
Subject St. Panteleimon Monastery E43776 entity
Predicate alsoKnownAs P39 FINISHED
Object Rossikon
Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
E235123 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: Rossikon | Statement: [St. Panteleimon Monastery, alsoKnownAs, Rossikon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rossikon
Context triple: [St. Panteleimon Monastery, alsoKnownAs, Rossikon]
  • A. Meyrin
    Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
  • B. Seebruck
    Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
  • C. Brig-Glis
    Brig-Glis is a Swiss town in the canton of Valais, known as a regional transport hub near the Simplon Pass and an important gateway to the Alps.
  • D. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • E. Gletsch
    Gletsch is a small Swiss hamlet in the canton of Valais, known as a historic staging point near the sources of the Rhône and at the junction of the Furka and Grimsel mountain passes.
  • 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: Rossikon
Triple: [St. Panteleimon Monastery, alsoKnownAs, Rossikon]
Generated description
Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rossikon
Target entity description: Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
  • A. Meyrin
    Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
  • B. Seebruck
    Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
  • C. Brig-Glis
    Brig-Glis is a Swiss town in the canton of Valais, known as a regional transport hub near the Simplon Pass and an important gateway to the Alps.
  • D. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • E. Gletsch
    Gletsch is a small Swiss hamlet in the canton of Valais, known as a historic staging point near the sources of the Rhône and at the junction of the Furka and Grimsel mountain passes.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b610a88190bc10fd7dda19da08 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae304aa0888190a725234d8e527ac5 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae3197794c81908530b26fcb8a4a77 completed March 9, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69ae31f65444819090c2af22c21ec3e1 completed March 9, 2026, 2:35 a.m.
Created at: March 4, 2026, 7:37 p.m.