Triple

T24014090
Position Surface form Disambiguated ID Type / Status
Subject Holy Royal Martyrs of Russia E594619 entity
Predicate relicsLocatedAt P36131 FINISHED
Object Church on the Blood in Honour of All Saints Resplendent in the Russian Land, Yekaterinburg
The Church on the Blood in Honour of All Saints Resplendent in the Russian Land in Yekaterinburg is a major Russian Orthodox church built on the site of the execution of Tsar Nicholas II and his family, serving as a memorial and pilgrimage site dedicated to the last Romanovs and other Russian martyrs.
 E1614623 NE FINISHED

How this triple was built (3 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: Church on the Blood in Honour of All Saints Resplendent in the Russian Land, Yekaterinburg | Statement: [Holy Royal Martyrs of Russia, relicsLocatedAt, Church on the Blood in Honour of All Saints Resplendent in the Russian Land, Yekaterinburg]
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: Church on the Blood in Honour of All Saints Resplendent in the Russian Land, Yekaterinburg
Triple: [Holy Royal Martyrs of Russia, relicsLocatedAt, Church on the Blood in Honour of All Saints Resplendent in the Russian Land, Yekaterinburg]
Generated description
The Church on the Blood in Honour of All Saints Resplendent in the Russian Land in Yekaterinburg is a major Russian Orthodox church built on the site of the execution of Tsar Nicholas II and his family, serving as a memorial and pilgrimage site dedicated to the last Romanovs and other Russian martyrs.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: relicsLocatedAt
Context triple: [Holy Royal Martyrs of Russia, relicsLocatedAt, Church on the Blood in Honour of All Saints Resplendent in the Russian Land, Yekaterinburg]
  • A. relicsLocatedIn chosen
    Indicates that certain relics are situated, stored, or found within a specific location.
  • B. relicsDiscoveryYear
    Indicates the year in which the relics were discovered.
  • C. relicsAssociatedWith
    Indicates a relationship where certain relics are connected or linked to a particular entity, context, or subject (such as a person, place, event, or tradition).
  • D. relicDiscovery
    Indicates the event or relationship in which an entity finds or uncovers a relic.
  • E. holyRelicDisplayedOn
    Indicates that a sacred or revered religious object is being publicly shown or exhibited on a particular surface, structure, or location.
  • F. None of above.

Provenance (6 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_69e288bc8f608190ac4af29f0bd1c744 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d5a0aa408190a27fca07777cda05 completed April 29, 2026, 9:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e9fe8d48190a8ce796c40ec3b9a completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f7f4e4b9081909cf4a5a60f4da17f completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f80468e208190813d392e9e478151 completed May 21, 2026, 9:59 p.m.
PD Predicate disambiguation batch_69f17639d23c8190bed93434e2f9230a completed April 29, 2026, 3:08 a.m.
Created at: April 17, 2026, 9:41 p.m.