Triple

T21884381
Position Surface form Disambiguated ID Type / Status
Subject SAO 132444 E540367 entity
Predicate correspondsToHR P134768 FINISHED
Object HR 1948 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: HR 1948 | Statement: [SAO 132444, correspondsToHR, HR 1948]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: correspondsToHR
Context triple: [SAO 132444, correspondsToHR, HR 1948]
  • A. correspondsWith
    Indicates that two entities are in mutual alignment or agreement, such that one matches, parallels, or is equivalent to the other in a specified respect.
  • B. hasHRIdentifier chosen
    Indicates that an entity is associated with a specific identifier used by a Human Resources system to uniquely reference it.
  • C. appliesToPerson
    Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific person.
  • D. hrNumber
    Indicates a unique human resources identification number assigned to an individual or position within an organization.
  • E. associatedWithWorkforce
    Indicates a relationship in which an entity is connected or related to a particular workforce, such as its members, activities, or management.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118eabb008190ab6f1364ef4e6feb completed April 28, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69e6be9a65888190a66598d62d20366c completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 7:05 p.m.