Triple

T2918931
Position Surface form Disambiguated ID Type / Status
Subject Linares y Pombo E78672 entity
Predicate hasPart P35 FINISHED
Object Pombo
Pombo is a component or subdivision associated with the larger entity known as Linares y Pombo.
 E310246 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: Pombo | Statement: [Linares y Pombo, hasPart, Pombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pombo
Context triple: [Linares y Pombo, hasPart, Pombo]
  • A. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • B. Pichi
    Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
  • C. Pajari
    Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
  • D. Pavo
    Pavo is a genus of large, colorful birds in the pheasant family that includes the well-known peafowls.
  • E. Coringão
    Coringão is a popular nickname for Sport Club Corinthians Paulista, one of Brazil’s most successful and widely supported football clubs.
  • 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: Pombo
Triple: [Linares y Pombo, hasPart, Pombo]
Generated description
Pombo is a component or subdivision associated with the larger entity known as Linares y Pombo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pombo
Target entity description: Pombo is a component or subdivision associated with the larger entity known as Linares y Pombo.
  • A. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • B. Pichi
    Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
  • C. Pajari
    Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
  • D. Pavo
    Pavo is a genus of large, colorful birds in the pheasant family that includes the well-known peafowls.
  • E. Coringão
    Coringão is a popular nickname for Sport Club Corinthians Paulista, one of Brazil’s most successful and widely supported football clubs.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a53f8c8190b188d549f1161e84 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0562fc5f081909c9130f71f379a24 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b06117ba088190886fa464f54525cd completed March 10, 2026, 6:21 p.m.
NED2 Entity disambiguation (via description) batch_69b0628d5f608190b7a13ac2e8b8d721 completed March 10, 2026, 6:27 p.m.
Created at: March 8, 2026, 2:54 p.m.