Triple

T35971955
Position Surface form Disambiguated ID Type / Status
Subject Mavrovo Lake E1040309 entity
Predicate hasPart P35 FINISHED
Object submerged Church of St. Nicholas
The submerged Church of St. Nicholas is a partially sunken historic church in North Macedonia, whose haunting ruins emerge from the waters of Mavrovo Lake and have become a striking local landmark.
E2164000 NE FINISHED

How this triple was built (2 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: submerged Church of St. Nicholas | Statement: [Mavrovo Lake, hasPart, submerged Church of St. Nicholas]
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: submerged Church of St. Nicholas
Triple: [Mavrovo Lake, hasPart, submerged Church of St. Nicholas]
Generated description
The submerged Church of St. Nicholas is a partially sunken historic church in North Macedonia, whose haunting ruins emerge from the waters of Mavrovo Lake and have become a striking local landmark.

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_69f76e27758c81909b711cf38a130aaf completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ac277484819088af0ee0b8dd7bb7 completed May 3, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38b712548481908281ae92b247dd2f completed June 22, 2026, 4:16 a.m.
NEDg Description generation batch_6a38b7d8c5fc8190a7cce91a93d1b905 completed June 22, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_6a38b86a90b48190810a306e1cf50744 completed June 22, 2026, 4:22 a.m.
Created at: May 3, 2026, 4:07 p.m.