Triple

T21167910
Position Surface form Disambiguated ID Type / Status
Subject Rafael Urdaneta E521616 entity
Predicate familyName P18 FINISHED
Object Urdaneta
Urdaneta is a Spanish-language surname most notably associated with Venezuelan independence leader and general Rafael Urdaneta.
 E1469795 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: Urdaneta | Statement: [Rafael Urdaneta, familyName, Urdaneta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Urdaneta
Context triple: [Rafael Urdaneta, familyName, Urdaneta]
  • A. Urdaneta
    Urdaneta is an upscale residential and commercial barangay in Makati, Metro Manila, known for its affluent neighborhoods and proximity to the city’s central business district.
  • B. Urdaneta
    Urdaneta is a component city in the province of Pangasinan in the Philippines, known as a commercial and transportation hub in the Ilocos Region.
  • C. Catanauan
    Catanauan is a coastal municipality in the province of Quezon in the Philippines, known for its agricultural economy and fishing communities.
  • D. Tondelayo
    Tondelayo is a seductive and manipulative native woman in the 1942 film "White Cargo," known for embodying an exoticized and controversial stereotype.
  • E. Danao
    Danao is a coastal barangay in the municipality of Panglao in Bohol, Philippines, known for its beaches and tourism-related activities.
  • 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: Urdaneta
Triple: [Rafael Urdaneta, familyName, Urdaneta]
Generated description
Urdaneta is a Spanish-language surname most notably associated with Venezuelan independence leader and general Rafael Urdaneta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Urdaneta
Target entity description: Urdaneta is a Spanish-language surname most notably associated with Venezuelan independence leader and general Rafael Urdaneta.
  • A. Urdaneta
    Urdaneta is an upscale residential and commercial barangay in Makati, Metro Manila, known for its affluent neighborhoods and proximity to the city’s central business district.
  • B. Urdaneta
    Urdaneta is a component city in the province of Pangasinan in the Philippines, known as a commercial and transportation hub in the Ilocos Region.
  • C. Catanauan
    Catanauan is a coastal municipality in the province of Quezon in the Philippines, known for its agricultural economy and fishing communities.
  • D. Tondelayo
    Tondelayo is a seductive and manipulative native woman in the 1942 film "White Cargo," known for embodying an exoticized and controversial stereotype.
  • E. Danao
    Danao is a coastal barangay in the municipality of Panglao in Bohol, Philippines, known for its beaches and tourism-related activities.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72710c73881908d41aedff8984da9 completed April 21, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0975716e78819095e4ba54fbf78809 completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a09761477c481909c1c6e557a265360 completed May 17, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_6a09768230a481908cc04374ed49f34d completed May 17, 2026, 8:04 a.m.
Created at: April 16, 2026, 3 p.m.