Triple

T9258028
Position Surface form Disambiguated ID Type / Status
Subject Noguera Pallaresa E222494 entity
Predicate flowsThrough P225 FINISHED
Object Noguera
Noguera is a comarca (county) in the province of Lleida, Catalonia, Spain, known for its rural landscapes and historical towns.
 E614162 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: Noguera | Statement: [Noguera Pallaresa, flowsThrough, Noguera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noguera
Context triple: [Noguera Pallaresa, flowsThrough, Noguera]
  • A. Noguera
    Noguera is a comarca in western Catalonia, Spain, known for its largely rural landscape, historic towns, and agricultural economy.
  • B. Jorquera River
    The Jorquera River is an Andean watercourse in northern Chile that serves as one of the principal headwater tributaries of the Copiapó River.
  • C. Ocaña
    Ocaña is a historic city in northeastern Colombia known for its colonial architecture and role in the country’s independence-era events.
  • D. Ocaña
    Ocaña is a historic town in central Spain known for its large Plaza Mayor and its role as a regional cultural and commercial center.
  • E. Peralillo
    Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
  • 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: Noguera
Triple: [Noguera Pallaresa, flowsThrough, Noguera]
Generated description
Noguera is a comarca (county) in the province of Lleida, Catalonia, Spain, known for its rural landscapes and historical towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noguera
Target entity description: Noguera is a comarca (county) in the province of Lleida, Catalonia, Spain, known for its rural landscapes and historical towns.
  • A. Noguera chosen
    Noguera is a comarca in western Catalonia, Spain, known for its largely rural landscape, historic towns, and agricultural economy.
  • B. Jorquera River
    The Jorquera River is an Andean watercourse in northern Chile that serves as one of the principal headwater tributaries of the Copiapó River.
  • C. Ocaña
    Ocaña is a historic city in northeastern Colombia known for its colonial architecture and role in the country’s independence-era events.
  • D. Ocaña
    Ocaña is a historic town in central Spain known for its large Plaza Mayor and its role as a regional cultural and commercial center.
  • E. Peralillo
    Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
  • F. None of above.

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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b660448190b6bc04beff0f5512 completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0f38567048190b1fccbab145285c9 completed April 4, 2026, 11:18 a.m.
NEDg Description generation batch_69d0f52e4a8c8190a2ef1cb28a771652 completed April 4, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_69d0f589b86c8190a68c7047766ce464 completed April 4, 2026, 11:27 a.m.
Created at: March 30, 2026, 7:32 p.m.