Triple

T38073253
Position Surface form Disambiguated ID Type / Status
Subject Martinus Theunis Steyn E950641 entity
Predicate lastHolderOfOffice P13875 FINISHED
Object State President of the Orange Free State NE NERFINISHED

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: State President of the Orange Free State | Statement: [Martinus Theunis Steyn, lastHolderOfOffice, State President of the Orange Free State]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lastHolderOfOffice
Context triple: [Martinus Theunis Steyn, lastHolderOfOffice, State President of the Orange Free State]
  • A. lastIncumbent chosen
    Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
  • B. officeHolders
    Indicates a relationship where one or more entities hold, or have held, an official position or role within a specified organization, institution, or jurisdiction.
  • C. lastFederalLeader
    Indicates that one entity is the most recent individual to have served as the federal leader of the other entity.
  • D. lastOfficeHolderLaterBecame
    Indicates that the person who most recently held a given office subsequently went on to hold another specified office or role.
  • E. officeHolderOf
    Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
  • 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_69f76f02a6c48190a94f3c0b3ee90cf2 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc44c7e73c819082d4fc1900fb9632 completed May 7, 2026, 7:52 a.m.
PD Predicate disambiguation batch_69fbc8efffbc8190a139798ad1880526 completed May 6, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:21 p.m.