Triple

T35450330
Position Surface form Disambiguated ID Type / Status
Subject Moskenes Municipality E1024608 entity
Predicate hasTransportLink P1298 FINISHED
Object Moskenes–Bodø ferry connection
The Moskenes–Bodø ferry connection is a car and passenger ferry route linking the Lofoten Islands with the mainland town of Bodø in northern Norway.
E2141265 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: Moskenes–Bodø ferry connection | Statement: [Moskenes Municipality, hasTransportLink, Moskenes–Bodø ferry connection]
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: Moskenes–Bodø ferry connection
Triple: [Moskenes Municipality, hasTransportLink, Moskenes–Bodø ferry connection]
Generated description
The Moskenes–Bodø ferry connection is a car and passenger ferry route linking the Lofoten Islands with the mainland town of Bodø in northern Norway.

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_69f76df92f108190817222e520e22268 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f796296e1881908d001cad8fbb7b1b completed May 3, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3836cbc94c81908f0a0127d34694ba completed June 21, 2026, 7:08 p.m.
NEDg Description generation batch_6a3838cf89f48190bc53a2642c4667d2 completed June 21, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_6a383939ffbc8190abc96d92690e39f4 completed June 21, 2026, 7:19 p.m.
Created at: May 3, 2026, 4:04 p.m.