Triple

T20988649
Position Surface form Disambiguated ID Type / Status
Subject Port of Kristiansand E516958 entity
Predicate partOf P40 FINISHED
Object Kristiansand municipality
Kristiansand municipality is a coastal local government area in southern Norway that includes the city of Kristiansand and serves as an important regional center for commerce, transport, and culture.
E2030687 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: Kristiansand municipality | Statement: [Port of Kristiansand, partOf, Kristiansand municipality]
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: Kristiansand municipality
Triple: [Port of Kristiansand, partOf, Kristiansand municipality]
Generated description
Kristiansand municipality is a coastal local government area in southern Norway that includes the city of Kristiansand and serves as an important regional center for commerce, transport, and culture.

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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe5208c8190b8b843b3778589d3 completed April 21, 2026, 4:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34d239177c8190b740a9c3804e4484 completed June 19, 2026, 5:23 a.m.
NEDg Description generation batch_6a34d3bdb6808190967b4c67d5a3af66 completed June 19, 2026, 5:29 a.m.
NED2 Entity disambiguation (via description) batch_6a34d46b4a4081909c03beb97142b28e completed June 19, 2026, 5:32 a.m.
Created at: April 16, 2026, 1:49 p.m.