Triple

T14467611
Position Surface form Disambiguated ID Type / Status
Subject Province of Margarita E358753 entity
Predicate capital P234 FINISHED
Object La Asunción
La Asunción is a historic colonial-era city on Venezuela’s Margarita Island, known for its religious landmarks and role as an administrative and cultural center.
 E1104693 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: La Asunción | Statement: [Province of Margarita, capital, La Asunción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Asunción
Context triple: [Province of Margarita, capital, La Asunción]
  • A. Asuncion
    Asuncion is a remote volcanic island in the Northern Mariana Islands, known for its steep stratovolcano and relatively undisturbed natural environment.
  • B. Asuncion
    Asuncion is a stage play written by actor and playwright Jesse Eisenberg that explores themes of privilege, prejudice, and cultural misunderstanding.
  • C. Asuncion
    Asuncion is a rural municipality in the province of Davao del Norte on the island of Mindanao in the Philippines.
  • D. Asunción
    Asunción is the capital and largest city of Paraguay, located along the Paraguay River and serving as the country’s main political, cultural, and economic center.
  • E. Asunción
    Asunción is the birth name of American lawyer, journalist, and television host Sunny Hostin.
  • 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: La Asunción
Triple: [Province of Margarita, capital, La Asunción]
Generated description
La Asunción is a historic colonial-era city on Venezuela’s Margarita Island, known for its religious landmarks and role as an administrative and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Asunción
Target entity description: La Asunción is a historic colonial-era city on Venezuela’s Margarita Island, known for its religious landmarks and role as an administrative and cultural center.
  • A. Asuncion
    Asuncion is a remote volcanic island in the Northern Mariana Islands, known for its steep stratovolcano and relatively undisturbed natural environment.
  • B. Asuncion
    Asuncion is a stage play written by actor and playwright Jesse Eisenberg that explores themes of privilege, prejudice, and cultural misunderstanding.
  • C. Asuncion
    Asuncion is a rural municipality in the province of Davao del Norte on the island of Mindanao in the Philippines.
  • D. Asunción
    Asunción is the capital and largest city of Paraguay, located along the Paraguay River and serving as the country’s main political, cultural, and economic center.
  • E. Asunción
    Asunción is the birth name of American lawyer, journalist, and television host Sunny Hostin.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f8613c819080424104c0b7f4c3 completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a3bade48190a4608ca46f5f558a completed May 8, 2026, 5:52 a.m.
NEDg Description generation batch_69fd7d4949b88190a81573cb03867912 completed May 8, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd7da1b73081908062306000a0fd22 completed May 8, 2026, 6:07 a.m.
Created at: April 10, 2026, 1:19 a.m.