Triple

T5486847
Position Surface form Disambiguated ID Type / Status
Subject Ribatejo E123602 entity
Predicate hasCity P316 FINISHED
Object Almeirim
Almeirim is a Portuguese city in the Ribatejo region, known for its agricultural traditions and its famous sopa da pedra (stone soup).
E524408 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: Almeirim | Statement: [Ribatejo, hasCity, Almeirim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almeirim
Context triple: [Ribatejo, hasCity, Almeirim]
  • A. Berriane
    Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
  • B. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • C. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • D. Avallon
    Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
  • E. Miravet
    Miravet is a historic village in Catalonia, Spain, known for its medieval castle overlooking the Ebro River.
  • 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: Almeirim
Triple: [Ribatejo, hasCity, Almeirim]
Generated description
Almeirim is a Portuguese city in the Ribatejo region, known for its agricultural traditions and its famous sopa da pedra (stone soup).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Almeirim
Target entity description: Almeirim is a Portuguese city in the Ribatejo region, known for its agricultural traditions and its famous sopa da pedra (stone soup).
  • A. Berriane
    Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
  • B. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • C. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • D. Avallon
    Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
  • E. Miravet
    Miravet is a historic village in Catalonia, Spain, known for its medieval castle overlooking the Ebro River.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92639b3481908845c280d334117f completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf70dcb0c881909d9aaf0050a5c27b completed March 22, 2026, 4:32 a.m.
NEDg Description generation batch_69bf726ca8b08190b4ae9d6d2787b303 completed March 22, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_69bf72b99d988190801d6044fa07310c completed March 22, 2026, 4:40 a.m.
Created at: March 20, 2026, 2:10 p.m.