Triple

T16827592
Position Surface form Disambiguated ID Type / Status
Subject Joan Maragall E409060 entity
Predicate notableWork P4 FINISHED
Object “Enllà”
“Enllà” is a celebrated collection of poems by Catalan modernist writer Joan Maragall that reflects his spiritual and philosophical lyricism.
 E1235368 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: “Enllà” | Statement: [Joan Maragall, notableWork, “Enllà”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “Enllà”
Context triple: [Joan Maragall, notableWork, “Enllà”]
  • A. Nellallitea
    Nellallitea is the birth name of Nella Larsen, the influential Harlem Renaissance novelist and short story writer known for exploring race and identity.
  • B. Llavorsí
    Llavorsí is a small village in the Catalan Pyrenees of Spain, known as a gateway for mountain tourism and white-water rafting.
  • C. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • D. Ellisif
    Ellisif, also known as Elisiv of Kiev, was a Kievan Rus' princess who became Queen consort of Norway through her marriage to King Harald Hardrada in the 11th century.
  • E. Ellmau
    Ellmau is a popular Austrian alpine village and ski resort known for its scenic setting in the Kitzbühel Alps and extensive winter sports and hiking opportunities.
  • 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: “Enllà”
Triple: [Joan Maragall, notableWork, “Enllà”]
Generated description
“Enllà” is a celebrated collection of poems by Catalan modernist writer Joan Maragall that reflects his spiritual and philosophical lyricism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: “Enllà”
Target entity description: “Enllà” is a celebrated collection of poems by Catalan modernist writer Joan Maragall that reflects his spiritual and philosophical lyricism.
  • A. Nellallitea
    Nellallitea is the birth name of Nella Larsen, the influential Harlem Renaissance novelist and short story writer known for exploring race and identity.
  • B. Llavorsí
    Llavorsí is a small village in the Catalan Pyrenees of Spain, known as a gateway for mountain tourism and white-water rafting.
  • C. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • D. Ellisif
    Ellisif, also known as Elisiv of Kiev, was a Kievan Rus' princess who became Queen consort of Norway through her marriage to King Harald Hardrada in the 11th century.
  • E. Ellmau
    Ellmau is a popular Austrian alpine village and ski resort known for its scenic setting in the Kitzbühel Alps and extensive winter sports and hiking opportunities.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3151350819097b1c375e6df8986 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2a0ac148190a7a7edebcb67c040 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b35ea8f88190ae33e8a2f906d133 completed May 10, 2026, 4:33 p.m.
NED2 Entity disambiguation (via description) batch_6a00b3d14b3c819081f435777f47eca3 completed May 10, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.