Triple

T13579592
Position Surface form Disambiguated ID Type / Status
Subject Comarca of Tarragonès E324376 entity
Predicate containsMunicipality P852 FINISHED
Object El Rourell
El Rourell is a small municipality in the Tarragonès comarca of Catalonia, Spain.
E1063049 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 Rourell | Statement: [Comarca of Tarragonès, containsMunicipality, El Rourell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Rourell
Context triple: [Comarca of Tarragonès, containsMunicipality, El Rourell]
  • A. Quart de Poblet
    Quart de Poblet is a municipality in the province of Valencia, Spain, known for its proximity to the city of Valencia and its role within the metropolitan area.
  • B. Sant Sadurní d’Anoia
    Sant Sadurní d’Anoia is a Catalan town renowned as the main center of cava (sparkling wine) production in Spain.
  • C. Pla d'Urgell
    Pla d'Urgell is a comarca (county) in the inland plains of Catalonia, Spain, known for its irrigated agriculture and small rural towns.
  • D. Pedralbes
    Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
  • E. Granollers
    Granollers is a town and municipality in Catalonia, Spain, known as an important commercial and industrial center and the capital of the comarca of Vallès Oriental.
  • 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 Rourell
Triple: [Comarca of Tarragonès, containsMunicipality, El Rourell]
Generated description
El Rourell is a small municipality in the Tarragonès comarca of Catalonia, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: El Rourell
Target entity description: El Rourell is a small municipality in the Tarragonès comarca of Catalonia, Spain.
  • A. Quart de Poblet
    Quart de Poblet is a municipality in the province of Valencia, Spain, known for its proximity to the city of Valencia and its role within the metropolitan area.
  • B. Sant Sadurní d’Anoia
    Sant Sadurní d’Anoia is a Catalan town renowned as the main center of cava (sparkling wine) production in Spain.
  • C. Pla d'Urgell
    Pla d'Urgell is a comarca (county) in the inland plains of Catalonia, Spain, known for its irrigated agriculture and small rural towns.
  • D. Pedralbes
    Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
  • E. Granollers
    Granollers is a town and municipality in Catalonia, Spain, known as an important commercial and industrial center and the capital of the comarca of Vallès Oriental.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03052088190a2b68c106059828e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c6cde08190b79fdcde8a81ccc4 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9f9651081909bdbd509dd60c20e completed May 3, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba936c4481908757699ff22d3904 completed May 3, 2026, 9:13 p.m.
Created at: April 9, 2026, 9:48 p.m.