Triple

T19482913
Position Surface form Disambiguated ID Type / Status
Subject TCL E487436 entity
Predicate operatingAreaCharacteristic P92453 FINISHED
Object integrated multimodal network 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: integrated multimodal network | Statement: [TCL, operatingAreaCharacteristic, integrated multimodal network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatingAreaCharacteristic
Context triple: [TCL, operatingAreaCharacteristic, integrated multimodal network]
  • A. serviceAreaCharacteristic
    Indicates a relationship where a service area is associated with a specific attribute or feature that characterizes it.
  • B. coreAreaCharacteristic
    Indicates that a characteristic or feature is specifically associated with the core area of something, rather than its peripheral or secondary parts.
  • C. domainCharacteristic chosen
    Indicates that a domain or area of interest possesses a particular characteristic or defining property.
  • D. regionalCharacteristic
    Indicates that a particular feature, quality, or attribute is typical of, or distinctive to, a specific geographic region.
  • E. operationalCharacteristic
    Indicates a relationship where a specific functional or performance trait is attributed to, or used to describe, how an entity operates.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6343c23308190a35f462f95338651 completed April 20, 2026, 2:12 p.m.
PD Predicate disambiguation batch_69e4fd7883308190b73912a71a35a835 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:39 p.m.