Triple

T6592159
Position Surface form Disambiguated ID Type / Status
Subject Alcúdia E148387 entity
Predicate locatedNear P294 FINISHED
Object Sa Pobla
Sa Pobla is a rural town in northern Mallorca, Spain, known for its agricultural production—especially potatoes—and traditional festivals.
 E610151 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: Sa Pobla | Statement: [Alcúdia, locatedNear, Sa Pobla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sa Pobla
Context triple: [Alcúdia, locatedNear, Sa Pobla]
  • A. Benicarló
    Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
  • B. La Pobla de Massaluca
    La Pobla de Massaluca is a small rural municipality in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and wine production.
  • C. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • D. Vilafranca del Penedès
    Vilafranca del Penedès is a historic town in Catalonia, Spain, known as a traditional wine-producing center in the Penedès region.
  • E. Garriga
    Garriga is a Spanish surname most notably borne by Ignacio Garriga, a contemporary Spanish politician.
  • 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: Sa Pobla
Triple: [Alcúdia, locatedNear, Sa Pobla]
Generated description
Sa Pobla is a rural town in northern Mallorca, Spain, known for its agricultural production—especially potatoes—and traditional festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sa Pobla
Target entity description: Sa Pobla is a rural town in northern Mallorca, Spain, known for its agricultural production—especially potatoes—and traditional festivals.
  • A. Benicarló
    Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
  • B. La Pobla de Massaluca
    La Pobla de Massaluca is a small rural municipality in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and wine production.
  • C. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • D. Vilafranca del Penedès
    Vilafranca del Penedès is a historic town in Catalonia, Spain, known as a traditional wine-producing center in the Penedès region.
  • E. Garriga
    Garriga is a Spanish surname most notably borne by Ignacio Garriga, a contemporary Spanish politician.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aece1f848190a11676e072afb002 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eedfe3a88190a1d7fda9ff0dc9bd completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f09ea58c8190bfd8a183581b5a5a completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f1a0935881908afc30ce76bdf76f completed March 27, 2026, 9:07 p.m.
Created at: March 27, 2026, 1:55 p.m.