Triple

T2965293
Position Surface form Disambiguated ID Type / Status
Subject Girona E80146 entity
Predicate locatedOnRiver P165 FINISHED
Object Güell
Güell is a river in the Catalonia region of northeastern Spain that flows through the city of Girona.
E315240 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: Güell | Statement: [Girona, locatedOnRiver, Güell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Güell
Context triple: [Girona, locatedOnRiver, Güell]
  • A. Eusebi Güell
    Eusebi Güell was a wealthy Catalan industrialist and politician best known as a major patron of architect Antoni Gaudí, commissioning several of his most iconic works.
  • B. Palau Güell
    Palau Güell is a modernist mansion in Barcelona designed by Antoni Gaudí, renowned for its innovative architecture and ornate rooftop chimneys.
  • C. Gaudi
    Gaudi is Habana Labs’ AI training processor designed to accelerate deep learning workloads with high performance and efficiency.
  • D. Crypt of Colònia Güell
    The Crypt of Colònia Güell is an unfinished but highly innovative church by Antoni Gaudí near Barcelona, renowned for its experimental structural forms and richly symbolic, organic design.
  • E. Park Güell
    Park Güell is a famous public park in Barcelona designed by architect Antoni Gaudí, renowned for its colorful mosaics, organic forms, and panoramic city views.
  • 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: Güell
Triple: [Girona, locatedOnRiver, Güell]
Generated description
Güell is a river in the Catalonia region of northeastern Spain that flows through the city of Girona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Güell
Target entity description: Güell is a river in the Catalonia region of northeastern Spain that flows through the city of Girona.
  • A. Eusebi Güell
    Eusebi Güell was a wealthy Catalan industrialist and politician best known as a major patron of architect Antoni Gaudí, commissioning several of his most iconic works.
  • B. Palau Güell
    Palau Güell is a modernist mansion in Barcelona designed by Antoni Gaudí, renowned for its innovative architecture and ornate rooftop chimneys.
  • C. Gaudi
    Gaudi is Habana Labs’ AI training processor designed to accelerate deep learning workloads with high performance and efficiency.
  • D. Crypt of Colònia Güell
    The Crypt of Colònia Güell is an unfinished but highly innovative church by Antoni Gaudí near Barcelona, renowned for its experimental structural forms and richly symbolic, organic design.
  • E. Park Güell
    Park Güell is a famous public park in Barcelona designed by architect Antoni Gaudí, renowned for its colorful mosaics, organic forms, and panoramic city views.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad995a28e88190a4d6b9ef2c0d8e61 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc9bc190819087cb35ee7c78825a completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd25e07c819088b2b1bcef4cf54e completed March 11, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_69b100ecbee081908832ddec0efdc751 completed March 11, 2026, 5:43 a.m.
Created at: March 8, 2026, 2:58 p.m.