Triple

T6072895
Position Surface form Disambiguated ID Type / Status
Subject Greater Lima conurbation E135326 entity
Predicate containsDistrict P22582 FINISHED
Object La Perla
La Perla is a coastal urban district within the Lima metropolitan area of Peru, known for its dense residential neighborhoods and proximity to the Pacific Ocean.
 E565920 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 Perla | Statement: [Greater Lima conurbation, containsDistrict, La Perla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Perla
Context triple: [Greater Lima conurbation, containsDistrict, La Perla]
  • A. La Perla
    La Perla is a small municipality in the Mexican state of Veracruz that forms part of the Orizaba metropolitan area.
  • B. Perla
    Perla is a Mexican telenovela best known for starring actress Silvia Navarro in one of her early prominent roles.
  • C. Pearl of Pearls
    Pearl of Pearls is an honorific epithet for Ahmad Shah Durrani, the 18th-century founder of the Durrani Empire and a key architect of the modern Afghan state.
  • D. City of Pearls
    City of Pearls is a popular nickname for Hyderabad, India, highlighting its historic role as a global center for pearl and diamond trade.
  • E. Perledo
    Perledo is a small Italian village in the Lombardy region overlooking Lake Como, known for its scenic hillside views near the town of Varenna.
  • 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 Perla
Triple: [Greater Lima conurbation, containsDistrict, La Perla]
Generated description
La Perla is a coastal urban district within the Lima metropolitan area of Peru, known for its dense residential neighborhoods and proximity to the Pacific Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Perla
Target entity description: La Perla is a coastal urban district within the Lima metropolitan area of Peru, known for its dense residential neighborhoods and proximity to the Pacific Ocean.
  • A. La Perla
    La Perla is a small municipality in the Mexican state of Veracruz that forms part of the Orizaba metropolitan area.
  • B. Perla
    Perla is a Mexican telenovela best known for starring actress Silvia Navarro in one of her early prominent roles.
  • C. Pearl of Pearls
    Pearl of Pearls is an honorific epithet for Ahmad Shah Durrani, the 18th-century founder of the Durrani Empire and a key architect of the modern Afghan state.
  • D. City of Pearls
    City of Pearls is a popular nickname for Hyderabad, India, highlighting its historic role as a global center for pearl and diamond trade.
  • E. Perledo
    Perledo is a small Italian village in the Lombardy region overlooking Lake Como, known for its scenic hillside views near the town of Varenna.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05759d29481908912015e734ab943 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d3a37fc81909bbc1cdeec3205cf completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11dc2becc8190991c444357755dec completed March 23, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69c11ed987e08190bf7065d04d9c3a0c completed March 23, 2026, 11:07 a.m.
Created at: March 22, 2026, 4:11 p.m.