Triple

T31141443
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Toruń E793796 entity
Predicate ecclesiasticalProvince P3089 FINISHED
Object Province of Gdańsk
The Province of Gdańsk is a Roman Catholic ecclesiastical province in northern Poland, centered on the Archdiocese of Gdańsk and encompassing several suffragan dioceses.
E1947044 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: Province of Gdańsk | Statement: [Diocese of Toruń, ecclesiasticalProvince, Province of Gdańsk]
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: Province of Gdańsk
Triple: [Diocese of Toruń, ecclesiasticalProvince, Province of Gdańsk]
Generated description
The Province of Gdańsk is a Roman Catholic ecclesiastical province in northern Poland, centered on the Archdiocese of Gdańsk and encompassing several suffragan dioceses.

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_69f224d2b3a48190aa9dd26fbf6eab1a completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6979657c481908040cfa7e46b7adc completed May 3, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2938cf8ff08190a83b5782e39ca8eb completed June 10, 2026, 10:13 a.m.
NEDg Description generation batch_6a2939db5768819087ecea8a785c637d completed June 10, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a293bf644548190beb05576e2c10d29 completed June 10, 2026, 10:27 a.m.
Created at: April 29, 2026, 9:05 p.m.