Triple

T641817
Position Surface form Disambiguated ID Type / Status
Subject Community of Madrid E16754 entity
Predicate contains P35 FINISHED
Object Pinto
Pinto is a municipality in the southern part of the Community of Madrid, Spain, known for its residential character and location near the region’s capital.
 E80243 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: Pinto | Statement: [Community of Madrid, contains, Pinto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pinto
Context triple: [Community of Madrid, contains, Pinto]
  • A. Angus
    Angus is a historic county and region on the east coast of Scotland known for its rural landscapes, agriculture, and coastal towns.
  • B. Carabao
    Carabao is a Thai energy drink brand known internationally for its high-profile sports sponsorships, including naming rights to England’s EFL Cup.
  • C. Barkley
    Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • D. Carneros
    Carneros is a cool-climate wine region in California, renowned for producing high-quality Pinot Noir and Chardonnay.
  • E. Rufus
    Rufus was a 1970s American funk and R&B band best known for launching Chaka Khan’s career and for hits like “Tell Me Something Good” and “Ain’t Nobody.”
  • 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: Pinto
Triple: [Community of Madrid, contains, Pinto]
Generated description
Pinto is a municipality in the southern part of the Community of Madrid, Spain, known for its residential character and location near the region’s capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pinto
Target entity description: Pinto is a municipality in the southern part of the Community of Madrid, Spain, known for its residential character and location near the region’s capital.
  • A. Angus
    Angus is a historic county and region on the east coast of Scotland known for its rural landscapes, agriculture, and coastal towns.
  • B. Carabao
    Carabao is a Thai energy drink brand known internationally for its high-profile sports sponsorships, including naming rights to England’s EFL Cup.
  • C. Barkley
    Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • D. Carneros
    Carneros is a cool-climate wine region in California, renowned for producing high-quality Pinot Noir and Chardonnay.
  • E. Rufus
    Rufus was a 1970s American funk and R&B band best known for launching Chaka Khan’s career and for hits like “Tell Me Something Good” and “Ain’t Nobody.”
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f02bc2c8190b8a92b2505768c19 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5778faa788190ac246d6cd6b983f4 completed March 2, 2026, 11:42 a.m.
NEDg Description generation batch_69a57806b6148190a56a1ed535bb3a65 completed March 2, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_69a5785996748190ae7761d190bbd35f completed March 2, 2026, 11:45 a.m.
Created at: March 1, 2026, 7:36 p.m.