Triple

T10860029
Position Surface form Disambiguated ID Type / Status
Subject María Carolina Josefina Pacanins y Niño E256374 entity
Predicate familyName P18 FINISHED
Object Pacanins E840652 NE 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: Pacanins | Statement: [María Carolina Josefina Pacanins y Niño, familyName, Pacanins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pacanins
Context triple: [María Carolina Josefina Pacanins y Niño, familyName, Pacanins]
  • A. Pacanins chosen
    Pacanins is a Spanish-language surname of likely Hispanic origin.
  • B. Savoryella
    Savoryella is a genus of aquatic ascomycete fungi known for inhabiting submerged wood and plant debris in freshwater and marine environments.
  • C. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • D. Nasuella
    Nasuella is a small genus of South American carnivorous mammals known as mountain coatis, characterized by their elongated snouts and arboreal habits.
  • E. Cercopes
    The Cercopes are mischievous trickster dwarfs from Greek mythology known for their pranks and for once attempting to steal from the hero Heracles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75150ceb88190a70356d12ce130c5 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d0403c8190bc0b92197a25d3ee completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.