Triple

T27351519
Position Surface form Disambiguated ID Type / Status
Subject Papal conclave of 1592 E684370 entity
Predicate electeePreviousOffice P120329 FINISHED
Object Cardinal-Priest of San Pancrazio 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: Cardinal-Priest of San Pancrazio | Statement: [Papal conclave of 1592, electeePreviousOffice, Cardinal-Priest of San Pancrazio]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electeePreviousOffice
Context triple: [Papal conclave of 1592, electeePreviousOffice, Cardinal-Priest of San Pancrazio]
  • A. previousOffice
    Indicates that one office or position was held immediately before another in a sequence of offices.
  • B. officePreviouslyHeldBy
    Indicates that a particular office or position was formerly occupied by a specified person or entity.
  • C. electeePreConclaveOffice chosen
    Indicates that an individual who is later elected to an office held a specific position or role prior to the conclave or election event.
  • D. electedOffice
    Indicates that an entity holds or has held a particular office or position as a result of an election.
  • E. possibleOfficeHeld
    Indicates that an entity may have held, or is a candidate to have held, a particular office or position, without asserting it as a confirmed fact.
  • 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_69ef1480a76481908684256ddd5bfda3 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f7c777e924819081a6634f549fe552 completed May 3, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69f7c475c58c8190a883554231e88c88 completed May 3, 2026, 9:56 p.m.
Created at: April 27, 2026, 11:48 a.m.