Triple

T10103901
Position Surface form Disambiguated ID Type / Status
Subject Pacanins y Niño E216269 entity
Predicate hasComponentSurname P37098 FINISHED
Object Pacanins
Pacanins is a Spanish-language surname of likely Hispanic origin.
 E840652 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: Pacanins | Statement: [Pacanins y Niño, hasComponentSurname, Pacanins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pacanins
Context triple: [Pacanins y Niño, hasComponentSurname, Pacanins]
  • A. Savoryella
    Savoryella is a genus of aquatic ascomycete fungi known for inhabiting submerged wood and plant debris in freshwater and marine environments.
  • B. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • C. Nasuella
    Nasuella is a small genus of South American carnivorous mammals known as mountain coatis, characterized by their elongated snouts and arboreal habits.
  • D. Spizelloides
    Spizelloides is a genus of New World sparrows, best known for the American tree sparrow, within the family Passerellidae.
  • E. Pavelets
    Pavelets is a locality in Russia whose name is notably borne by the Paveletsky railway station in Moscow.
  • 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: Pacanins
Triple: [Pacanins y Niño, hasComponentSurname, Pacanins]
Generated description
Pacanins is a Spanish-language surname of likely Hispanic origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pacanins
Target entity description: Pacanins is a Spanish-language surname of likely Hispanic origin.
  • A. Savoryella
    Savoryella is a genus of aquatic ascomycete fungi known for inhabiting submerged wood and plant debris in freshwater and marine environments.
  • B. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • C. Nasuella
    Nasuella is a small genus of South American carnivorous mammals known as mountain coatis, characterized by their elongated snouts and arboreal habits.
  • D. Spizelloides
    Spizelloides is a genus of New World sparrows, best known for the American tree sparrow, within the family Passerellidae.
  • E. Pavelets
    Pavelets is a locality in Russia whose name is notably borne by the Paveletsky railway station in Moscow.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09c961081909848acec4438c300 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6dcca848190851f6f1968fe244c completed April 5, 2026, 7:24 p.m.
NEDg Description generation batch_69d2b7e64fcc8190805a6a31c8a3786f completed April 5, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69d2b883959481909f330a26863621ae completed April 5, 2026, 7:31 p.m.
Created at: March 30, 2026, 9:03 p.m.