Triple

T14270840
Position Surface form Disambiguated ID Type / Status
Subject Poblats Marítims E353777 entity
Predicate hasPart P35 FINISHED
Object El Grau
El Grau is a coastal neighborhood of Valencia, Spain, known for its historic port area and maritime character.
E1095719 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: El Grau | Statement: [Poblats Marítims, hasPart, El Grau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Grau
Context triple: [Poblats Marítims, hasPart, El Grau]
  • A. Enrique Carrión
    Enrique Carrión was a notable figure in Spain, likely a businessman or patron, after whom the prominent Madrid landmark Edificio Carrión (Capitol Building) was named.
  • B. Alonso Grau
    Alonso Grau is a Cuban politician and cultural figure best known for serving as Cuba’s Minister of Culture.
  • C. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • D. de Saavedra
    de Saavedra is a Spanish surname historically associated with notable figures in Spain and its overseas territories.
  • E. Kawésqar
    The Kawésqar are an Indigenous people of southern Chile known for their traditional seafaring, nomadic lifestyle among the fjords and channels of Patagonia.
  • 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: El Grau
Triple: [Poblats Marítims, hasPart, El Grau]
Generated description
El Grau is a coastal neighborhood of Valencia, Spain, known for its historic port area and maritime character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: El Grau
Target entity description: El Grau is a coastal neighborhood of Valencia, Spain, known for its historic port area and maritime character.
  • A. Enrique Carrión
    Enrique Carrión was a notable figure in Spain, likely a businessman or patron, after whom the prominent Madrid landmark Edificio Carrión (Capitol Building) was named.
  • B. Alonso Grau
    Alonso Grau is a Cuban politician and cultural figure best known for serving as Cuba’s Minister of Culture.
  • C. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • D. de Saavedra
    de Saavedra is a Spanish surname historically associated with notable figures in Spain and its overseas territories.
  • E. Kawésqar
    The Kawésqar are an Indigenous people of southern Chile known for their traditional seafaring, nomadic lifestyle among the fjords and channels of Patagonia.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c31654c81908f53d4c21e255afb completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd4d6a23308190b2bd6a6a63f3a1a0 completed May 8, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69fd4e7e7c508190a42070a2f2b33425 completed May 8, 2026, 2:46 a.m.
Created at: April 10, 2026, 1:10 a.m.