Triple

T8401881
Position Surface form Disambiguated ID Type / Status
Subject Juan de Cartagena E198391 entity
Predicate ship P880 FINISHED
Object San Antonio
San Antonio was one of the ships in Ferdinand Magellan’s early 16th-century Spanish expedition that attempted the first circumnavigation of the globe.
 E23254 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: San Antonio | Statement: [Juan de Cartagena, ship, San Antonio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Antonio
Context triple: [Juan de Cartagena, ship, San Antonio]
  • A. San Antonio
    San Antonio is a large, historic city in south-central Texas known for the Alamo, the River Walk, and its rich blend of Mexican and Texan culture.
  • B. San Antonio
    San Antonio is a major Chilean port city known for its significant role in the country’s maritime trade and fishing industries.
  • C. San Antonio
    San Antonio is a coastal municipality in the province of Northern Samar in the Philippines, known for its island beaches and fishing communities.
  • D. San Antonio
    San Antonio is a coastal municipality in the Philippine province of Zambales known for its beaches, coves, and nearby island-hopping destinations.
  • E. San Antonio
    San Antonio is a metro station on Line 7 of the Mexico City Metro system, serving passengers in the southwestern part of Mexico City.
  • 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: San Antonio
Triple: [Juan de Cartagena, ship, San Antonio]
Generated description
San Antonio was one of the ships in Ferdinand Magellan’s early 16th-century Spanish expedition that attempted the first circumnavigation of the globe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Antonio
Target entity description: San Antonio was one of the ships in Ferdinand Magellan’s early 16th-century Spanish expedition that attempted the first circumnavigation of the globe.
  • A. San Antonio chosen
    San Antonio was one of the ships in Ferdinand Magellan’s expedition fleet that participated in the first circumnavigation attempt of the globe.
  • B. San Antonio
    San Antonio is a large, historic city in south-central Texas known for the Alamo, the River Walk, and its rich blend of Mexican and Texan culture.
  • C. San Antonio
    San Antonio is a coastal municipality in the Philippine province of Zambales known for its beaches, coves, and nearby island-hopping destinations.
  • D. San Antonio
    San Antonio is a coastal municipality in the province of Northern Samar in the Philippines, known for its island beaches and fishing communities.
  • E. San Antonio
    San Antonio is a major Chilean port city known for its significant role in the country’s maritime trade and fishing industries.
  • F. None of above.

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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb824efa5c81908ce816cdb8e1fcfb completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce889d38508190977b112db0253606 completed April 2, 2026, 3:17 p.m.
NEDg Description generation batch_69ce8c9727208190adf14e7d2ba7af17 completed April 2, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d595d80819093a1b849bcb3c7c7 completed April 2, 2026, 3:38 p.m.
Created at: March 30, 2026, 6:04 p.m.