Triple

T10732269
Position Surface form Disambiguated ID Type / Status
Subject Anthony Mamo E253100 entity
Predicate precededByInOfficePresidentOfMalta P34201 FINISHED
Object office created 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: office created | Statement: [Anthony Mamo, precededByInOfficePresidentOfMalta, office created]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: precededByInOfficePresidentOfMalta
Context triple: [Anthony Mamo, precededByInOfficePresidentOfMalta, office created]
  • A. precededBy (President of Italy)
    Indicates that one President of Italy held office immediately before another President of Italy.
  • B. predecessorAsPrimeMinister
    Indicates that one person previously held the office of Prime Minister immediately before another person.
  • C. precededInOfficeAsChancellorBy
    Indicates that one individual assumed the role of Chancellor after another specific individual, who held the office immediately before them.
  • D. predecessorInOffice chosen
    Indicates that one officeholder directly held a particular position before another officeholder in an official succession.
  • E. precededByAsRegentOfSicily
    Indicates that one entity previously served as regent of Sicily immediately before another entity in a succession of regents.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7101f35888190b88662372a7d100d completed April 9, 2026, 2:34 a.m.
PD Predicate disambiguation batch_69d6f309a44881908e49e3ba478c35b4 completed April 9, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:14 p.m.