Triple

T19649224
Position Surface form Disambiguated ID Type / Status
Subject Republic of Ragusa E471763 entity
Predicate headOfStateTitle P593 FINISHED
Object Rector
The Rector was the chief magistrate and ceremonial head of state of the maritime city-state of the Republic of Ragusa (Dubrovnik).
E1388847 NE FINISHED

How this triple was built (4 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: Rector | Statement: [Republic of Ragusa, headOfStateTitle, Rector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rector
Context triple: [Republic of Ragusa, headOfStateTitle, Rector]
  • A. Rector
    The Rector is the highest academic and administrative leader of the University of Tirana, responsible for overseeing its governance, strategy, and overall management.
  • B. Rector
    Rector is a surname of English origin borne by various individuals, including Harriet Amanda Rector.
  • C. Rector Major
    The Rector Major is the worldwide leader and highest authority of the Salesians of Don Bosco, responsible for guiding the congregation’s mission and governance.
  • D. Dean of Connor
    The Dean of Connor is the senior cleric responsible for overseeing the cathedral chapter and liturgical life within the Church of Ireland’s Diocese of Connor.
  • E. The Provost
    The Provost is a shadowy, high-ranking operative in Dan Brown's thriller "Inferno," overseeing covert operations for a powerful private security organization.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rector
Triple: [Republic of Ragusa, headOfStateTitle, Rector]
Generated description
The Rector was the chief magistrate and ceremonial head of state of the maritime city-state of the Republic of Ragusa (Dubrovnik).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rector
Target entity description: The Rector was the chief magistrate and ceremonial head of state of the maritime city-state of the Republic of Ragusa (Dubrovnik).
  • A. Rector
    The Rector is the highest academic and administrative leader of the University of Tirana, responsible for overseeing its governance, strategy, and overall management.
  • B. Rector
    Rector is a surname of English origin borne by various individuals, including Harriet Amanda Rector.
  • C. Rector Major
    The Rector Major is the worldwide leader and highest authority of the Salesians of Don Bosco, responsible for guiding the congregation’s mission and governance.
  • D. Dean of Connor
    The Dean of Connor is the senior cleric responsible for overseeing the cathedral chapter and liturgical life within the Church of Ireland’s Diocese of Connor.
  • E. The Provost
    The Provost is a shadowy, high-ranking operative in Dan Brown's thriller "Inferno," overseeing covert operations for a powerful private security organization.
  • F. None of above. chosen

Provenance (5 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641278e9881909bdf8d440ef6eba4 completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077eeced6881909429563193fd71d1 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a0783867f148190aaca0d1522689e3c completed May 15, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_6a0784a7dba88190857275f577b5cc7c completed May 15, 2026, 8:40 p.m.
Created at: April 10, 2026, 1:44 p.m.