Triple

T13345466
Position Surface form Disambiguated ID Type / Status
Subject Segrià E317936 entity
Predicate hasMunicipality P847 FINISHED
Object La Portella
La Portella is a small municipality in the comarca of Segrià in Catalonia, northeastern Spain.
E1035668 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: La Portella | Statement: [Segrià, hasMunicipality, La Portella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Portella
Context triple: [Segrià, hasMunicipality, La Portella]
  • A. Porto Palermo
    Porto Palermo is a small coastal bay and village in southern Albania known for its scenic shoreline, historic castle, and former military installations.
  • B. Portorosso
    Portorosso is a picturesque fictional seaside town on the Italian Riviera that serves as the main setting of Pixar’s animated film "Luca."
  • C. Ponteceso
    Ponteceso is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its rugged Atlantic shoreline and traditional Galician culture.
  • D. Solitano
    Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
  • E. Ginosa
    Ginosa is a town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian coast.
  • 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: La Portella
Triple: [Segrià, hasMunicipality, La Portella]
Generated description
La Portella is a small municipality in the comarca of Segrià in Catalonia, northeastern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Portella
Target entity description: La Portella is a small municipality in the comarca of Segrià in Catalonia, northeastern Spain.
  • A. Porto Palermo
    Porto Palermo is a small coastal bay and village in southern Albania known for its scenic shoreline, historic castle, and former military installations.
  • B. Portorosso
    Portorosso is a picturesque fictional seaside town on the Italian Riviera that serves as the main setting of Pixar’s animated film "Luca."
  • C. Ponteceso
    Ponteceso is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its rugged Atlantic shoreline and traditional Galician culture.
  • D. Solitano
    Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
  • E. Ginosa
    Ginosa is a town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian coast.
  • 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.