Triple

T9581203
Position Surface form Disambiguated ID Type / Status
Subject Carlos Ibáñez del Campo E231173 entity
Predicate secondTermAsPresidentEnd P5112 FINISHED
Object 1958 — 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: 1958 | Statement: [Carlos Ibáñez del Campo, secondTermAsPresidentEnd, 1958]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondTermAsPresidentEnd
Context triple: [Carlos Ibáñez del Campo, secondTermAsPresidentEnd, 1958]
  • A. vicePresidentialTermEnd
    Indicates the date or point in time when an individual's service in a specific vice presidential term comes to an end.
  • B. endOfSecondPresidency chosen
    Indicates the point in time when an entity’s second term in a presidential office concludes.
  • C. vicePresidentDuringSecondTerm
    Indicates that one entity served as vice president during the second term of another entity’s tenure in office.
  • D. endTimeOfPresidency
    Indicates the specific time at which a person's term in the presidency concludes.
  • E. endTimeAsInterimPresident
    Indicates the point in time at which an individual's tenure serving as interim president concludes.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99cbe79081909947b4d1389eb015 completed April 1, 2026, 10:18 p.m.
PD Predicate disambiguation batch_69ccd59fd7408190b36831902e3f37f7 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:05 p.m.