Triple

T13345463
Position Surface form Disambiguated ID Type / Status
Subject Segrià E317936 entity
Predicate hasMunicipality P847 FINISHED
Object Alfés
Alfés is a small municipality in the Segrià comarca of the province of Lleida, in Catalonia, northeastern Spain.
E1035667 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: Alfés | Statement: [Segrià, hasMunicipality, Alfés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfés
Context triple: [Segrià, hasMunicipality, Alfés]
  • A. Torelló
    Torelló is a municipality in the comarca of Osona in Catalonia, Spain, known for its industrial heritage and scenic location in the Ter river valley.
  • B. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • C. Alvescot
    Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • D. Sierroz
    Sierroz is a river in eastern France that serves as one of the tributaries feeding into Lac du Bourget.
  • E. Puyol
    Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
  • 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: Alfés
Triple: [Segrià, hasMunicipality, Alfés]
Generated description
Alfés is a small municipality in the Segrià comarca of the province of Lleida, in Catalonia, northeastern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alfés
Target entity description: Alfés is a small municipality in the Segrià comarca of the province of Lleida, in Catalonia, northeastern Spain.
  • A. Torelló
    Torelló is a municipality in the comarca of Osona in Catalonia, Spain, known for its industrial heritage and scenic location in the Ter river valley.
  • B. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • C. Alvescot
    Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • D. Sierroz
    Sierroz is a river in eastern France that serves as one of the tributaries feeding into Lac du Bourget.
  • E. Puyol
    Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e89c65c819093f3bea11d6073c5 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f439b3c8190b35fd4d097d65068 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204ac36c8190a04e921442489e9c completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f7221887208190ac98945a023bc496 completed May 3, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:31 p.m.