Triple

T1161214
Position Surface form Disambiguated ID Type / Status
Subject Inner Tracking System E24493 entity
Predicate upgradeTechnology P25630 FINISHED
Object monolithic active pixel sensors 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: monolithic active pixel sensors | Statement: [Inner Tracking System, upgradeTechnology, monolithic active pixel sensors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: upgradeTechnology
Context triple: [Inner Tracking System, upgradeTechnology, monolithic active pixel sensors]
  • A. upgradeType
    Indicates the specific kind or category of improvement or enhancement applied to an entity relative to its previous state.
  • B. upgradeProgram
    Indicates that one entity improves, enhances, or replaces another entity’s program with a more advanced or updated version.
  • C. upgradeFocus
    Indicates a shift of attention or priority from a lower level or version to a higher, improved, or more advanced one.
  • D. upgradePath
    Indicates the relationship by which one entity can be improved, enhanced, or transitioned into another, typically more advanced, version or state.
  • E. upgradeDate
    Indicates the date on which an entity was upgraded to a newer or improved version.
  • F. None of above. chosen

Provenance (4 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcb1915081908834ced85d09e299 completed March 1, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69a4bb525b648190adcb7a29256d3c41 completed March 1, 2026, 10:18 p.m.
PDg Predicate description generation batch_69a4bc49693c8190978ec63a5171d342 completed March 1, 2026, 10:23 p.m.
Created at: March 1, 2026, 7:45 p.m.