Triple

T4637036
Position Surface form Disambiguated ID Type / Status
Subject Santa Marta E101556 entity
Predicate demonym P191 FINISHED
Object Samario
Samario is the Spanish demonym for a person from the city of Santa Marta in Colombia.
 E458935 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: Samario | Statement: [Santa Marta, demonym, Samario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samario
Context triple: [Santa Marta, demonym, Samario]
  • A. Warley
    Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
  • B. Ceibal
    Ceibal is an ancient Maya archaeological site in Guatemala renowned for its well-preserved ceremonial architecture and sculpted monuments.
  • C. Mompeo
    Mompeo is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • D. Thaton
    Thaton is an ancient city in southern Myanmar historically significant as a major center of the Mon kingdom and Theravada Buddhism in the region.
  • E. Iluka
    Iluka is a small coastal town in northern New South Wales, Australia, known for its beaches, fishing, and proximity to the Clarence River and Iluka Nature Reserve.
  • 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: Samario
Triple: [Santa Marta, demonym, Samario]
Generated description
Samario is the Spanish demonym for a person from the city of Santa Marta in Colombia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samario
Target entity description: Samario is the Spanish demonym for a person from the city of Santa Marta in Colombia.
  • A. Warley
    Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
  • B. Ceibal
    Ceibal is an ancient Maya archaeological site in Guatemala renowned for its well-preserved ceremonial architecture and sculpted monuments.
  • C. Mompeo
    Mompeo is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • D. Thaton
    Thaton is an ancient city in southern Myanmar historically significant as a major center of the Mon kingdom and Theravada Buddhism in the region.
  • E. Iluka
    Iluka is a small coastal town in northern New South Wales, Australia, known for its beaches, fishing, and proximity to the Clarence River and Iluka Nature Reserve.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfacba5fc8190bc86157ee5719ced completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfed8a8b48190bcb98e2ff1886b65 completed March 21, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69bdff9ff3748190af5e5a6d91976abc completed March 21, 2026, 2:17 a.m.
Created at: March 20, 2026, 1:13 p.m.