Triple

T26749953
Position Surface form Disambiguated ID Type / Status
Subject Asmaløy E674507 entity
Predicate roadAccess P385 FINISHED
Object Norwegian County Road 108
Norwegian County Road 108 is a regional roadway in Norway that connects key locations in Østfold county, including the island of Asmaløy, and serves as an important local transport route.
E1738277 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: Norwegian County Road 108 | Statement: [Asmaløy, roadAccess, Norwegian County Road 108]
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: Norwegian County Road 108
Triple: [Asmaløy, roadAccess, Norwegian County Road 108]
Generated description
Norwegian County Road 108 is a regional roadway in Norway that connects key locations in Østfold county, including the island of Asmaløy, and serves as an important local transport route.

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_69eecda63a3881908095c47900692e65 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f61887c16c81909fc5bb18ae427834 completed May 2, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11feacbeb08190aee260429d9f30d3 completed May 23, 2026, 7:23 p.m.
NEDg Description generation batch_6a11ff7b88748190a04a8a92c016eec7 completed May 23, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_6a1200461b94819098a2cbd8b03d4076 completed May 23, 2026, 7:30 p.m.
Created at: April 27, 2026, 3:53 a.m.