Triple

T3097322
Position Surface form Disambiguated ID Type / Status
Subject Caterina E64628 entity
Predicate hasVariant P455 FINISHED
Object Catena
Catena is a feminine given name, likely an alternative or diminutive form of the name Caterina.
 E328180 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: Catena | Statement: [Caterina, hasVariant, Catena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Catena
Context triple: [Caterina, hasVariant, Catena]
  • A. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • B. Las Breas
    Las Breas is a small settlement located within the Río Hurtado area of Chile, likely characterized by its rural Andean setting and agricultural activities.
  • C. Campo de Marte
    Campo de Marte was the historical name of what is now Parque O’Higgins, a major urban park and traditional venue for public events in Santiago, Chile.
  • D. Celestún
    Celestún is a small coastal town in the Mexican state of Yucatán, known for its beaches, fishing community, and as a gateway to nearby flamingo-filled wetlands and nature reserves.
  • E. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • 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: Catena
Triple: [Caterina, hasVariant, Catena]
Generated description
Catena is a feminine given name, likely an alternative or diminutive form of the name Caterina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Catena
Target entity description: Catena is a feminine given name, likely an alternative or diminutive form of the name Caterina.
  • A. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • B. Las Breas
    Las Breas is a small settlement located within the Río Hurtado area of Chile, likely characterized by its rural Andean setting and agricultural activities.
  • C. Campo de Marte
    Campo de Marte was the historical name of what is now Parque O’Higgins, a major urban park and traditional venue for public events in Santiago, Chile.
  • D. Celestún
    Celestún is a small coastal town in the Mexican state of Yucatán, known for its beaches, fishing community, and as a gateway to nearby flamingo-filled wetlands and nature reserves.
  • E. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23cbe3c8190b7ec5cfd464a1ca8 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20378a1488190bd0fa7d3f4639220 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b2051868048190b197646d452df8e9 completed March 12, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69b2094564e881909274bb34be922166 completed March 12, 2026, 12:31 a.m.
Created at: March 8, 2026, 3:03 p.m.