Triple

T18327964
Position Surface form Disambiguated ID Type / Status
Subject La Victoria E439061 entity
Predicate hasNeighborhood P40 FINISHED
Object Balconcillo
Balconcillo is a traditional residential neighborhood within the La Victoria district of Lima, Peru.
 E1319736 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: Balconcillo | Statement: [La Victoria, hasNeighborhood, Balconcillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Balconcillo
Context triple: [La Victoria, hasNeighborhood, Balconcillo]
  • A. San Cristóbal de la Barranca
    San Cristóbal de la Barranca is a small municipality in the state of Jalisco, Mexico, known for its deep canyon landscapes and hot springs along the Santiago River.
  • B. Barranquitas
    Barranquitas is a mountainous inland municipality of Puerto Rico known for its cool climate, scenic views, and traditional cultural festivals.
  • C. Hato Abajo
    Hato Abajo is a barrio (district) of the municipality of Arecibo on the northern coast of Puerto Rico.
  • D. San Juan de los Planes
    San Juan de los Planes is a small rural community in the Mexican state of Baja California Sur, known for its quiet desert landscape and proximity to the Gulf of California.
  • E. El Carmen
    El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
  • 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: Balconcillo
Triple: [La Victoria, hasNeighborhood, Balconcillo]
Generated description
Balconcillo is a traditional residential neighborhood within the La Victoria district of Lima, Peru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Balconcillo
Target entity description: Balconcillo is a traditional residential neighborhood within the La Victoria district of Lima, Peru.
  • A. San Cristóbal de la Barranca
    San Cristóbal de la Barranca is a small municipality in the state of Jalisco, Mexico, known for its deep canyon landscapes and hot springs along the Santiago River.
  • B. Barranquitas
    Barranquitas is a mountainous inland municipality of Puerto Rico known for its cool climate, scenic views, and traditional cultural festivals.
  • C. Hato Abajo
    Hato Abajo is a barrio (district) of the municipality of Arecibo on the northern coast of Puerto Rico.
  • D. San Juan de los Planes
    San Juan de los Planes is a small rural community in the Mexican state of Baja California Sur, known for its quiet desert landscape and proximity to the Gulf of California.
  • E. El Carmen
    El Carmen is a small town in Chile’s Ñuble Region, situated in the rural interior of Diguillín Province.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aac14488190840b9c22209f13d1 completed April 19, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc1be4a88190af681fc9e1ff77ab completed May 13, 2026, 12:55 a.m.
NEDg Description generation batch_6a03cdd658308190ba74f9cbda741f5a completed May 13, 2026, 1:03 a.m.
NED2 Entity disambiguation (via description) batch_6a03cedef9308190ae9c89ddc5913818 completed May 13, 2026, 1:07 a.m.
Created at: April 10, 2026, 10:36 a.m.