Triple

T22556391
Position Surface form Disambiguated ID Type / Status
Subject Cântaro Magro E557695 entity
Predicate near P350 FINISHED
Object Cântaro Raso
Cântaro Raso is a prominent granite peak in Portugal’s Serra da Estrela mountain range, known for its rugged landscape and hiking routes.
 E1544616 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: Cântaro Raso | Statement: [Cântaro Magro, near, Cântaro Raso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cântaro Raso
Context triple: [Cântaro Magro, near, Cântaro Raso]
  • A. Cântaro Gordo
    Cântaro Gordo is a prominent granite peak in Portugal’s Serra da Estrela mountain range, known for its rugged cliffs and scenic hiking routes.
  • B. Coruripe
    Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
  • C. Calamocha
    Calamocha is a municipality in the autonomous community of Aragon in northeastern Spain, known for its agricultural economy and notably cold winter temperatures.
  • D. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • E. Barranca
    Barranca is a coastal city in northern Lima Region, Peru, known as a provincial capital and agricultural and commercial hub.
  • 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: Cântaro Raso
Triple: [Cântaro Magro, near, Cântaro Raso]
Generated description
Cântaro Raso is a prominent granite peak in Portugal’s Serra da Estrela mountain range, known for its rugged landscape and hiking routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cântaro Raso
Target entity description: Cântaro Raso is a prominent granite peak in Portugal’s Serra da Estrela mountain range, known for its rugged landscape and hiking routes.
  • A. Cântaro Gordo
    Cântaro Gordo is a prominent granite peak in Portugal’s Serra da Estrela mountain range, known for its rugged cliffs and scenic hiking routes.
  • B. Coruripe
    Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
  • C. Calamocha
    Calamocha is a municipality in the autonomous community of Aragon in northeastern Spain, known for its agricultural economy and notably cold winter temperatures.
  • D. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • E. Barranca
    Barranca is a coastal city in northern Lima Region, Peru, known as a provincial capital and agricultural and commercial hub.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7a4a3c81908fc87f48b6dcbbf7 completed April 29, 2026, 1:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d4dffd08190a506137e1bac366a completed May 18, 2026, 4:24 p.m.
NEDg Description generation batch_6a0b3f078d7c8190ac84e8bf1726115f completed May 18, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3f8d85cc8190812924d466d18735 completed May 18, 2026, 4:34 p.m.
Created at: April 16, 2026, 8:52 p.m.