Triple

T23234019
Position Surface form Disambiguated ID Type / Status
Subject Hortaleza E581236 entity
Predicate hasNeighborhood P40 FINISHED
Object Canillas
Canillas is a residential neighborhood in the Hortaleza district of northeastern Madrid, Spain.
E1576262 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: Canillas | Statement: [Hortaleza, hasNeighborhood, Canillas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canillas
Context triple: [Hortaleza, hasNeighborhood, Canillas]
  • A. Cañas
    Cañas is a town in Costa Rica’s Guanacaste Province known as a key stop along the Inter-American Highway and a gateway to nearby natural attractions.
  • B. Cancilla
    Cancilla is an Italian-origin surname borne by individuals such as Elaine Cancilla Orbach, an American dancer and actress.
  • C. Cayastá
    Cayastá is a small town in Argentina’s Santa Fe Province known for its proximity to the historic Santa Fe La Vieja archaeological site, which preserves the remains of one of the region’s earliest Spanish settlements.
  • D. Achaguas
    Achaguas is a small town in the Apure state of Venezuela, historically linked to the Llanos region and nearby independence-era battle sites.
  • E. Cabricán
    Cabricán is a highland municipality and town in western Guatemala known for its indigenous culture and location within the Quetzaltenango Department.
  • 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: Canillas
Triple: [Hortaleza, hasNeighborhood, Canillas]
Generated description
Canillas is a residential neighborhood in the Hortaleza district of northeastern Madrid, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Canillas
Target entity description: Canillas is a residential neighborhood in the Hortaleza district of northeastern Madrid, Spain.
  • A. Cañas
    Cañas is a town in Costa Rica’s Guanacaste Province known as a key stop along the Inter-American Highway and a gateway to nearby natural attractions.
  • B. Cancilla
    Cancilla is an Italian-origin surname borne by individuals such as Elaine Cancilla Orbach, an American dancer and actress.
  • C. Cayastá
    Cayastá is a small town in Argentina’s Santa Fe Province known for its proximity to the historic Santa Fe La Vieja archaeological site, which preserves the remains of one of the region’s earliest Spanish settlements.
  • D. Achaguas
    Achaguas is a small town in the Apure state of Venezuela, historically linked to the Llanos region and nearby independence-era battle sites.
  • E. Cabricán
    Cabricán is a highland municipality and town in western Guatemala known for its indigenous culture and location within the Quetzaltenango Department.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192e7bed88190b914b238c5f49860 completed April 29, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f59de808190afb414450ac32d0d completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4008c4a881908ad49e733b549036 completed May 19, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40bece448190bb9fd1a3058a1f06 completed May 19, 2026, 10:51 a.m.
Created at: April 17, 2026, 4:09 p.m.