Triple

T30918402
Position Surface form Disambiguated ID Type / Status
Subject Elbląg Canal E787648 entity
Predicate hasGermanName P1435 FINISHED
Object Elbing-Oberländischer Kanal
Elbing-Oberländischer Kanal is the German name for the historic Elbląg Canal in Poland, an engineering landmark famous for its unique system of inclined planes that transport boats over significant elevation changes.
E1938402 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: Elbing-Oberländischer Kanal | Statement: [Elbląg Canal, hasGermanName, Elbing-Oberländischer Kanal]
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: Elbing-Oberländischer Kanal
Triple: [Elbląg Canal, hasGermanName, Elbing-Oberländischer Kanal]
Generated description
Elbing-Oberländischer Kanal is the German name for the historic Elbląg Canal in Poland, an engineering landmark famous for its unique system of inclined planes that transport boats over significant elevation changes.

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_69f224bfaca88190b9d0dfcc86297fe9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692b3c17881908e10d82b78be94a8 completed May 3, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28e467d0448190ade59fb9b002d5b5 completed June 10, 2026, 4:13 a.m.
NEDg Description generation batch_6a28e6df61d0819097dad3b8fe0605dc completed June 10, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_6a28e77c979c8190ad64292260d34595 completed June 10, 2026, 4:26 a.m.
Created at: April 29, 2026, 8:51 p.m.