Triple

T19655462
Position Surface form Disambiguated ID Type / Status
Subject Algete E471926 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Cobeña
Cobeña is a small municipality in the Community of Madrid, Spain, located in the northeastern part of the region near other commuter towns such as Algete.
 E1387819 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: Cobeña | Statement: [Algete, hasNeighbouringMunicipality, Cobeña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cobeña
Context triple: [Algete, hasNeighbouringMunicipality, Cobeña]
  • A. Cabricán
    Cabricán is a highland municipality and town in western Guatemala known for its indigenous culture and location within the Quetzaltenango Department.
  • B. Echague
    Echague is a landlocked agricultural municipality in the province of Isabela in the Cagayan Valley region of the Philippines.
  • C. Samaniego
    Samaniego is a surname of Spanish origin borne by various notable individuals, including figures in the arts, sports, and public life.
  • D. Bardineto
    Bardineto is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and proximity to the Ligurian Alps.
  • E. Bermeo
    Bermeo is a historic fishing town and port on the Bay of Biscay in northern Spain’s Basque Country.
  • 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: Cobeña
Triple: [Algete, hasNeighbouringMunicipality, Cobeña]
Generated description
Cobeña is a small municipality in the Community of Madrid, Spain, located in the northeastern part of the region near other commuter towns such as Algete.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cobeña
Target entity description: Cobeña is a small municipality in the Community of Madrid, Spain, located in the northeastern part of the region near other commuter towns such as Algete.
  • A. Cabricán
    Cabricán is a highland municipality and town in western Guatemala known for its indigenous culture and location within the Quetzaltenango Department.
  • B. Echague
    Echague is a landlocked agricultural municipality in the province of Isabela in the Cagayan Valley region of the Philippines.
  • C. Samaniego
    Samaniego is a surname of Spanish origin borne by various notable individuals, including figures in the arts, sports, and public life.
  • D. Bardineto
    Bardineto is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and proximity to the Ligurian Alps.
  • E. Bermeo
    Bermeo is a historic fishing town and port on the Bay of Biscay in northern Spain’s Basque Country.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641452ac481908d5493506ee96516 completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077ef165b48190894f4ba843d7bcb4 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a078103746c8190aa687e483fef12e7 completed May 15, 2026, 8:24 p.m.
NED2 Entity disambiguation (via description) batch_6a078216845c8190b58bfa09180aeb8f completed May 15, 2026, 8:29 p.m.
Created at: April 10, 2026, 1:45 p.m.