Triple

T36089
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles E715 entity
Predicate foundedBy P104 FINISHED
Object Felipe de Neve
Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
 E10785 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: Felipe de Neve | Statement: [Los Angeles, foundedBy, Felipe de Neve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Felipe de Neve
Context triple: [Los Angeles, foundedBy, Felipe de Neve]
  • A. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • B. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • C. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • D. Alba, Duke of Alba
    Alba, Duke of Alba, was a prominent 16th-century Spanish general and statesman best known for his harsh rule in the Netherlands and his role in suppressing early stages of the Dutch Revolt.
  • E. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • 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: Felipe de Neve
Triple: [Los Angeles, foundedBy, Felipe de Neve]
Generated description
Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Felipe de Neve
Target entity description: Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
  • A. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • B. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • C. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • D. Alba, Duke of Alba
    Alba, Duke of Alba, was a prominent 16th-century Spanish general and statesman best known for his harsh rule in the Netherlands and his role in suppressing early stages of the Dutch Revolt.
  • E. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24aca5ed481908d1aa2ca656f25ea completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275df03dc81908c338b656feb9635 completed Feb. 28, 2026, 4:58 a.m.
NEDg Description generation batch_69a2770e91e081908c717b4a449e0a3e completed Feb. 28, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_69a278a3b7f88190b10bf9d74cb68282 completed Feb. 28, 2026, 5:09 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.