Triple

T29338899
Position Surface form Disambiguated ID Type / Status
Subject Icelandic diaspora E743982 entity
Predicate hasNotableCenter P6682 FINISHED
Object Mountain, North Dakota
Mountain, North Dakota is a small rural community known for its strong Icelandic heritage and role as a cultural center for Icelandic Americans.
E1891780 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: Mountain, North Dakota | Statement: [Icelandic diaspora, hasNotableCenter, Mountain, North Dakota]
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: Mountain, North Dakota
Triple: [Icelandic diaspora, hasNotableCenter, Mountain, North Dakota]
Generated description
Mountain, North Dakota is a small rural community known for its strong Icelandic heritage and role as a cultural center for Icelandic Americans.

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_69f09126cfcc8190899b16fbf3c2bf7b completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f669255db48190a9541c77cb9b5ede completed May 2, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2713f0af348190b5c97660d317291a completed June 8, 2026, 7:11 p.m.
NEDg Description generation batch_6a2714b020648190950f3984c2bd432d completed June 8, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_6a2718ad777081909ac0744b1551af12 completed June 8, 2026, 7:31 p.m.
Created at: April 28, 2026, 1:32 p.m.