Triple

T35553843
Position Surface form Disambiguated ID Type / Status
Subject Patriarch Pavle E1027436 entity
Predicate birthPlace P1 FINISHED
Object Kućanci, Austria-Hungary
Kućanci, Austria-Hungary was a village in the former Austro-Hungarian Empire, known as the birthplace of the future Serbian Orthodox Patriarch Pavle.
E2145869 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: Kućanci, Austria-Hungary | Statement: [Patriarch Pavle, birthPlace, Kućanci, Austria-Hungary]
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: Kućanci, Austria-Hungary
Triple: [Patriarch Pavle, birthPlace, Kućanci, Austria-Hungary]
Generated description
Kućanci, Austria-Hungary was a village in the former Austro-Hungarian Empire, known as the birthplace of the future Serbian Orthodox Patriarch Pavle.

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_69f76e014fd481909e9f04ac603a2aa9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7983dad2c81908141e2cde597058e completed May 3, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3852f510fc81908ae3d32939de04d6 completed June 21, 2026, 9:09 p.m.
NEDg Description generation batch_6a38545aed548190b2ee385675555215 completed June 21, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_6a38550f38108190b835efa2b5f2615d completed June 21, 2026, 9:18 p.m.
Created at: May 3, 2026, 4:04 p.m.