Triple

T37874910
Position Surface form Disambiguated ID Type / Status
Subject Biržai E944692 entity
Predicate hasReligiousBuilding P1191 FINISHED
Object Church of St. John the Baptist
The Church of St. John the Baptist is a prominent Roman Catholic church in the Lithuanian town of Biržai, notable for its historic architecture and role as a local religious landmark.
E2248090 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: Church of St. John the Baptist | Statement: [Biržai, hasReligiousBuilding, Church of St. John the Baptist]
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 of St. John the Baptist
Triple: [Biržai, hasReligiousBuilding, Church of St. John the Baptist]
Generated description
The Church of St. John the Baptist is a prominent Roman Catholic church in the Lithuanian town of Biržai, notable for its historic architecture and role as a local religious 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_69f76eef55d481908ca6660b4b532550 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb2856118819083d80b82c43d4411 completed May 6, 2026, 9:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a410cbeac60819092cae1554467715c completed June 28, 2026, 11:59 a.m.
NEDg Description generation batch_6a410d8565e881908a8cd7eed4428c3f completed June 28, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_6a410e09a0d48190aae6deab051064a3 completed June 28, 2026, 12:05 p.m.
Created at: May 3, 2026, 4:19 p.m.