Triple

T37945963
Position Surface form Disambiguated ID Type / Status
Subject Nokia 5800 XpressMusic E946606 entity
Predicate successor P78 FINISHED
Object Nokia 5530 XpressMusic
The Nokia 5530 XpressMusic is a mid-range touchscreen smartphone focused on music playback, featuring Nokia’s S60 5th Edition interface and multimedia capabilities in a compact design.
E2251535 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: Nokia 5530 XpressMusic | Statement: [Nokia 5800 XpressMusic, successor, Nokia 5530 XpressMusic]
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: Nokia 5530 XpressMusic
Triple: [Nokia 5800 XpressMusic, successor, Nokia 5530 XpressMusic]
Generated description
The Nokia 5530 XpressMusic is a mid-range touchscreen smartphone focused on music playback, featuring Nokia’s S60 5th Edition interface and multimedia capabilities in a compact design.

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_69f76ef531ac8190ae6d99e5786e76ec completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbdb6bebc8190a1cc6f04190b8f76 completed May 6, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a412ca67fb48190982ca00886d3277f completed June 28, 2026, 2:16 p.m.
NEDg Description generation batch_6a413278efb88190b34a361484ce43f4 completed June 28, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_6a4133045b5081908d6d0d03b06b6ea6 completed June 28, 2026, 2:43 p.m.
Created at: May 3, 2026, 4:20 p.m.