Triple

T4407164
Position Surface form Disambiguated ID Type / Status
Subject Portuguese presidential election, 1976 E93761 entity
Predicate incumbentBeforeElectionOffice P6364 FINISHED
Object President of Portugal 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: President of Portugal | Statement: [Portuguese presidential election, 1976, incumbentBeforeElectionOffice, President of Portugal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: incumbentBeforeElectionOffice
Context triple: [Portuguese presidential election, 1976, incumbentBeforeElectionOffice, President of Portugal]
  • A. incumbentBeforeElection chosen
    Indicates that the subject was already holding the relevant office or position prior to the specified election.
  • B. lastIncumbent
    Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
  • C. incumbentAfterElection
    Indicates that an entity holds a position or office as the sitting incumbent following a specified election.
  • D. incumbent
    Indicates that an entity currently holds a particular position, office, or role at the present time.
  • E. electedOffice
    Indicates that an entity holds or has held a particular office or position as a result of an election.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3548b1ca08190b3136867c7098d86 completed March 13, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69b34f5b36a881909bf2e970aa523390 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:28 p.m.