Triple

T16299955
Position Surface form Disambiguated ID Type / Status
Subject Infanta Benedita of Portugal E395757 entity
Predicate givenName P17 FINISHED
Object Benedita
Benedita was a Portuguese infanta of the 18th century, a daughter of King José I of Portugal and a member of the House of Braganza.
 E1206187 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: Benedita | Statement: [Infanta Benedita of Portugal, givenName, Benedita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benedita
Context triple: [Infanta Benedita of Portugal, givenName, Benedita]
  • A. Bènizàa
    Bènizàa is the self-designation used by a Zapotec people of Oaxaca, Mexico, reflecting their own name and identity distinct from the externally applied term "Zapotec."
  • B. Barmoya
    Barmoya is a rural locality in Queensland, Australia, situated near the community of Byfield.
  • C. Bérrio
    Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
  • D. Morar
    Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
  • E. Bassignana
    Bassignana is a municipality in the Piedmont region of northern Italy, situated near the confluence of the Tanaro and Po rivers.
  • 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: Benedita
Triple: [Infanta Benedita of Portugal, givenName, Benedita]
Generated description
Benedita was a Portuguese infanta of the 18th century, a daughter of King José I of Portugal and a member of the House of Braganza.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benedita
Target entity description: Benedita was a Portuguese infanta of the 18th century, a daughter of King José I of Portugal and a member of the House of Braganza.
  • A. Bènizàa
    Bènizàa is the self-designation used by a Zapotec people of Oaxaca, Mexico, reflecting their own name and identity distinct from the externally applied term "Zapotec."
  • B. Barmoya
    Barmoya is a rural locality in Queensland, Australia, situated near the community of Byfield.
  • C. Bérrio
    Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
  • D. Morar
    Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
  • E. Bassignana
    Bassignana is a municipality in the Piedmont region of northern Italy, situated near the confluence of the Tanaro and Po rivers.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e31c9e8819094593f3aeb44f2ca completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9d7ef48190b7acebebcb9608c3 completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0021459c4081908e4c1d2e0bc8a5be completed May 10, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a002221fe7c819083c8ede5e63b0908 completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 5:06 a.m.