Triple

T5689073
Position Surface form Disambiguated ID Type / Status
Subject CLARITY AD E125383 entity
Predicate allocation P65949 FINISHED
Object parallel assignment 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: parallel assignment | Statement: [CLARITY AD, allocation, parallel assignment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allocation
Context triple: [CLARITY AD, allocation, parallel assignment]
  • A. allocates
    Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
  • B. allocationAuthority
    Indicates that an entity has the power or right to decide how resources, tasks, or responsibilities are distributed among others.
  • C. allocationShare
    Indicates the proportion or portion of a total resource, amount, or benefit that is assigned to a particular entity within an allocation.
  • D. distribution
    Indicates the act or pattern of giving, delivering, or spreading something from one source to multiple recipients or locations.
  • E. allottedBy
    Indicates that something has been assigned, distributed, or allocated by a particular agent or authority.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029014588819094a2a0f6f9b66bab completed March 22, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69c021c0e0408190ab6c3cd3f907e80f completed March 22, 2026, 5:07 p.m.
PDg Predicate description generation batch_69c028fec2bc819083f5dca6a8d9d435 completed March 22, 2026, 5:38 p.m.
Created at: March 22, 2026, 3:44 p.m.