Triple

T9189547
Position Surface form Disambiguated ID Type / Status
Subject Biała Piska E220545 entity
Predicate hasGermanName P1435 FINISHED
Object Bialla
Bialla is the former German name for the town now known as Biała Piska in northeastern Poland.
 E783857 NE FINISHED

How this triple was built (4 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: Bialla | Statement: [Biała Piska, hasGermanName, Bialla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bialla
Context triple: [Biała Piska, hasGermanName, Bialla]
  • A. Biegun
    Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
  • B. Baiga
    Baiga are an indigenous Adivasi community of central India known for their traditional shifting cultivation, forest-based livelihood, and distinctive cultural practices.
  • C. Fiala
    Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
  • D. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • E. Barysaw
    Barysaw is a city in Belarus known as an important industrial and transportation center northeast of Minsk.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Bialla
Triple: [Biała Piska, hasGermanName, Bialla]
Generated description
Bialla is the former German name for the town now known as Biała Piska in northeastern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bialla
Target entity description: Bialla is the former German name for the town now known as Biała Piska in northeastern Poland.
  • A. Biegun
    Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
  • B. Baiga
    Baiga are an indigenous Adivasi community of central India known for their traditional shifting cultivation, forest-based livelihood, and distinctive cultural practices.
  • C. Fiala
    Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
  • D. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • E. Barysaw
    Barysaw is a city in Belarus known as an important industrial and transportation center northeast of Minsk.
  • F. None of above. chosen

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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bd8c5c81909d0cdbcd7410fcee completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c272f508190aade1769c88cf16d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cda59f88190bcde5a91aec2f9dd completed April 4, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69d05ddd28008190b82c42220871e73f completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.