Triple

T36998912
Position Surface form Disambiguated ID Type / Status
Subject Diamond Beach E915299 entity
Predicate receivesIceFrom P48630 FINISHED
Object Breiðamerkurjökull glacier
Breiðamerkurjökull glacier is a large outlet glacier of Vatnajökull in southeast Iceland, famous for calving icebergs into the Jökulsárlón glacial lagoon that later wash up on nearby Diamond Beach.
E2231329 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: Breiðamerkurjökull glacier | Statement: [Diamond Beach, receivesIceFrom, Breiðamerkurjökull glacier]
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: Breiðamerkurjökull glacier
Triple: [Diamond Beach, receivesIceFrom, Breiðamerkurjökull glacier]
Generated description
Breiðamerkurjökull glacier is a large outlet glacier of Vatnajökull in southeast Iceland, famous for calving icebergs into the Jökulsárlón glacial lagoon that later wash up on nearby Diamond Beach.

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_69f76e8f1a8c81909db172ed31304971 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9ffe947bc819087d24c891bfc5eb9 completed May 5, 2026, 2:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40951875f88190ace27d5f7a6978f6 completed June 28, 2026, 3:29 a.m.
NEDg Description generation batch_6a4098d8d0888190b7e76bdc5599bac1 completed June 28, 2026, 3:45 a.m.
NED2 Entity disambiguation (via description) batch_6a40992a97d481909773a7aa86f4313e completed June 28, 2026, 3:46 a.m.
Created at: May 3, 2026, 4:14 p.m.