Triple

T36398532
Position Surface form Disambiguated ID Type / Status
Subject Old Town (Sanok) E896553 entity
Predicate hasPart P35 FINISHED
Object parish church of Sanok Old Town
The parish church of Sanok Old Town is a historic Roman Catholic church that serves as a central religious and architectural landmark in the old quarter of Sanok, Poland.
E2181782 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: parish church of Sanok Old Town | Statement: [Old Town (Sanok), hasPart, parish church of Sanok Old Town]
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: parish church of Sanok Old Town
Triple: [Old Town (Sanok), hasPart, parish church of Sanok Old Town]
Generated description
The parish church of Sanok Old Town is a historic Roman Catholic church that serves as a central religious and architectural landmark in the old quarter of Sanok, Poland.

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_69f76e53b81081908d3b81860593f38a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bd13f1548190af73024e79899960 completed May 3, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39b44058ec81908c170693edcba0bd completed June 22, 2026, 10:16 p.m.
NEDg Description generation batch_6a39b6ab693881909c9f3c227f06817c completed June 22, 2026, 10:26 p.m.
NED2 Entity disambiguation (via description) batch_6a39b7d4ad24819097dde86914af826c completed June 22, 2026, 10:31 p.m.
Created at: May 3, 2026, 4:10 p.m.