Triple

T30842362
Position Surface form Disambiguated ID Type / Status
Subject Black Triangle E785545 entity
Predicate regionDocumented P107161 FINISHED
Object Black Triangle (environmental region)
The Black Triangle (environmental region) is a heavily industrialized border area of Germany, Poland, and the Czech Republic historically known for severe air pollution and environmental degradation.
 E1933615 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: Black Triangle (environmental region) | Statement: [Black Triangle, regionDocumented, Black Triangle (environmental region)]
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: Black Triangle (environmental region)
Triple: [Black Triangle, regionDocumented, Black Triangle (environmental region)]
Generated description
The Black Triangle (environmental region) is a heavily industrialized border area of Germany, Poland, and the Czech Republic historically known for severe air pollution and environmental degradation.

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_69f224b850848190a4af4ccf8ddadcdf completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f691443b108190acb7823c16ace379 completed May 3, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbf4e3e081908eb74bac55d221ab completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bd3f31d0819099e84d838827c47d completed June 10, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a28bd9d23e48190bcd8bcf57d7d72e8 completed June 10, 2026, 1:27 a.m.
Created at: April 29, 2026, 8:45 p.m.