Triple

T16265895
Position Surface form Disambiguated ID Type / Status
Subject Carabayllo E394873 entity
Predicate hasUrbanArea P316 FINISHED
Object Santa Isabel
Santa Isabel is an urban neighborhood within the Carabayllo district of Lima, Peru.
 E1203784 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: Santa Isabel | Statement: [Carabayllo, hasUrbanArea, Santa Isabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Santa Isabel
Context triple: [Carabayllo, hasUrbanArea, Santa Isabel]
  • A. Santa Isabel
    Santa Isabel was the colonial capital city of Spanish Equatorial Guinea, serving as the administrative and political center during Spanish rule.
  • B. Santa Isabel
    Santa Isabel is a town in southern Ecuador’s Azuay Province, known as a local commercial and agricultural center in the region.
  • C. Santa Isabel
    Santa Isabel was a Spanish expedition ship associated with the Santa Cruz colony during the era of New World exploration.
  • D. Santa Isabel
    Santa Isabel is a supermarket chain in Latin America operated under the retail group Cencosud.
  • E. Santa Isabel
    Santa Isabel is a municipality in the state of São Paulo, Brazil, known for its preserved natural areas and role as part of the greater São Paulo region.
  • 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: Santa Isabel
Triple: [Carabayllo, hasUrbanArea, Santa Isabel]
Generated description
Santa Isabel is an urban neighborhood within the Carabayllo district of Lima, Peru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Santa Isabel
Target entity description: Santa Isabel is an urban neighborhood within the Carabayllo district of Lima, Peru.
  • A. Santa Isabel
    Santa Isabel is a town in southern Ecuador’s Azuay Province, known as a local commercial and agricultural center in the region.
  • B. Santa Isabel
    Santa Isabel is a municipality in the state of São Paulo, Brazil, known for its preserved natural areas and role as part of the greater São Paulo region.
  • C. Santa Isabel
    Santa Isabel is a Santiago Metro station on Line 5 located in the central area of Chile’s capital city.
  • D. Santa Isabel
    Santa Isabel is a coastal municipality in southern Puerto Rico known for its agricultural production, particularly sugarcane and plantains.
  • E. Santa Isabel
    Santa Isabel is a supermarket chain in Latin America operated under the retail group Cencosud.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c839788190b974d1d0d2525b88 completed April 17, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b877088190893a1f012e5d2463 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a00183849bc8190a1896d240d8f91f0 completed May 10, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_6a00190887088190a5a0eb2cfd674c98 completed May 10, 2026, 5:35 a.m.
Created at: April 10, 2026, 5:05 a.m.