Triple

T25859158
Position Surface form Disambiguated ID Type / Status
Subject International Geomagnetic Reference Field E651434 entity
Predicate relatedConcept P37 FINISHED
Object World Magnetic Model
The World Magnetic Model is a standard mathematical representation of Earth's main magnetic field, widely used for navigation systems, mapping, and orientation in aviation, maritime, and consumer devices.
E651434 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: World Magnetic Model | Statement: [International Geomagnetic Reference Field, relatedConcept, World Magnetic Model]
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: World Magnetic Model
Triple: [International Geomagnetic Reference Field, relatedConcept, World Magnetic Model]
Generated description
The World Magnetic Model is a standard mathematical representation of Earth's main magnetic field, widely used for navigation systems, mapping, and orientation in aviation, maritime, and consumer devices.

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_69e7ab3a199c81909227cb964cacfe24 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6026a80208190a8b1fae20d6ed906 completed May 2, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da3e31188190acf4a727d4f6f558 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10daf457748190b591c0db813105f2 completed May 22, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_6a10dc7a3a50819089ed854ac6463fe6 completed May 22, 2026, 10:45 p.m.
Created at: April 22, 2026, 8:04 a.m.