Triple

T35693749
Position Surface form Disambiguated ID Type / Status
Subject Nokia 3210 E1031373 entity
Predicate hasPhonebookCapacity P83814 FINISHED
Object up to 250 entries LITERAL 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: up to 250 entries | Statement: [Nokia 3210, hasPhonebookCapacity, up to 250 entries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhonebookCapacity
Context triple: [Nokia 3210, hasPhonebookCapacity, up to 250 entries]
  • A. supportsPhoneBook chosen
    Indicates that an entity provides functionality for managing or accessing a phone book or contact list.
  • B. smsCapacity
    Indicates the maximum number of SMS messages that can be stored, sent, or handled within a given system or context.
  • C. dataCapacityDigits
    Indicates the number of decimal digits used to represent or specify a data capacity value.
  • D. dataCapacity
    Indicates the maximum amount of data that something can store, handle, or transmit.
  • E. hasContactMethod
    Indicates that an entity has a specific way or channel through which it can be contacted.
  • F. None of above.

Provenance (3 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_69f76e0c73ec819080ab60a9e2f5f1f6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fba78aca4c8190b8f1831e8cc04e06 completed May 6, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69fba34a65a4819088bac6c17542d71c completed May 6, 2026, 8:23 p.m.
Created at: May 3, 2026, 4:05 p.m.