Triple

T32507670
Position Surface form Disambiguated ID Type / Status
Subject Vesterålen district E830842 entity
Predicate hasBridgeConnection P845 FINISHED
Object Andøy Bridge
Andøy Bridge is a cantilever road bridge in Nordland county, Norway, that connects the island of Andøya to the neighboring island of Hinnøya in the Vesterålen archipelago.
E2012341 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: Andøy Bridge | Statement: [Vesterålen district, hasBridgeConnection, Andøy Bridge]
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: Andøy Bridge
Triple: [Vesterålen district, hasBridgeConnection, Andøy Bridge]
Generated description
Andøy Bridge is a cantilever road bridge in Nordland county, Norway, that connects the island of Andøya to the neighboring island of Hinnøya in the Vesterålen archipelago.

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_69f3492318348190ba37fb6b5f1d67f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c44bf4d481909a401bf086d57bb6 completed May 3, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347b78e5908190bd9ef479832823c5 completed June 18, 2026, 11:12 p.m.
NEDg Description generation batch_6a347c29d29c819085157ac0ed98a2f0 completed June 18, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a347d818bf08190b03290203b8ad992 completed June 18, 2026, 11:21 p.m.
Created at: May 1, 2026, 1 a.m.