Triple

T36779191
Position Surface form Disambiguated ID Type / Status
Subject Adam Dziewonski E908720 entity
Predicate researchInterest P3 FINISHED
Object Earth’s core
Earth’s core is the extremely hot, dense central region of our planet, composed mainly of iron and nickel, whose structure and dynamics generate Earth’s magnetic field and influence geologic activity.
 E2199089 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: Earth’s core | Statement: [Adam Dziewonski, researchInterest, Earth’s core]
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: Earth’s core
Triple: [Adam Dziewonski, researchInterest, Earth’s core]
Generated description
Earth’s core is the extremely hot, dense central region of our planet, composed mainly of iron and nickel, whose structure and dynamics generate Earth’s magnetic field and influence geologic activity.

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_69f76e798aa08190ace31098d1b13e9f completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9c10d0c8190b77e7abda22b99c4 completed May 3, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3d179d7f408190a6127a82ea8d5f76 completed June 25, 2026, 11:57 a.m.
NEDg Description generation batch_6a3d1d32516081908483a597a2c44865 completed June 25, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a3d6bb28eac819099b59dcd76be5444 completed June 25, 2026, 5:56 p.m.
Created at: May 3, 2026, 4:12 p.m.