Triple

T35885397
Position Surface form Disambiguated ID Type / Status
Subject Nusfjord fishing village E1037626 entity
Predicate partOf P40 FINISHED
Object Nusfjord fjord
Nusfjord fjord is a scenic coastal inlet in Norway’s Lofoten archipelago, known for its dramatic mountainous surroundings and the historic fishing village of Nusfjord along its shores.
E2292284 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: Nusfjord fjord | Statement: [Nusfjord fishing village, partOf, Nusfjord fjord]
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: Nusfjord fjord
Triple: [Nusfjord fishing village, partOf, Nusfjord fjord]
Generated description
Nusfjord fjord is a scenic coastal inlet in Norway’s Lofoten archipelago, known for its dramatic mountainous surroundings and the historic fishing village of Nusfjord along its shores.

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_69f76e1f4d748190bb55594d8441d70e completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa09411481909b2130c4c2b137f5 completed May 3, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5cdc014058819082098bd3c936bab2 completed July 19, 2026, 2:15 p.m.
NEDg Description generation batch_6a5cdc6041108190a3f027d0bf332270 completed July 19, 2026, 2:17 p.m.
NED2 Entity disambiguation (via description) batch_6a5cdcbb2cb481909bf5abd7ae7e4b85 completed July 19, 2026, 2:18 p.m.
Created at: May 3, 2026, 4:06 p.m.