Triple

T10645022
Position Surface form Disambiguated ID Type / Status
Subject Baix Llobregat E250813 entity
Predicate hasMunicipality P847 FINISHED
Object Pallejà
Pallejà is a municipality in the Baix Llobregat comarca of Catalonia, Spain, located near Barcelona along the Llobregat River.
E897587 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: Pallejà | Statement: [Baix Llobregat, hasMunicipality, Pallejà]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pallejà
Context triple: [Baix Llobregat, hasMunicipality, Pallejà]
  • A. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • B. Pallars
    Pallars is a historical and mountainous comarca in the Catalan Pyrenees of northeastern Spain, known for its rugged landscapes and river valleys.
  • C. Banyoles
    Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
  • D. Gironella
    Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
  • E. Camarasa
    Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
  • 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: Pallejà
Triple: [Baix Llobregat, hasMunicipality, Pallejà]
Generated description
Pallejà is a municipality in the Baix Llobregat comarca of Catalonia, Spain, located near Barcelona along the Llobregat River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pallejà
Target entity description: Pallejà is a municipality in the Baix Llobregat comarca of Catalonia, Spain, located near Barcelona along the Llobregat River.
  • A. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • B. Pallars
    Pallars is a historical and mountainous comarca in the Catalan Pyrenees of northeastern Spain, known for its rugged landscapes and river valleys.
  • C. Banyoles
    Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
  • D. Gironella
    Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
  • E. Camarasa
    Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe120908190ab91c38d57133739 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e343cd76448190b0583cc15005ac9d completed April 18, 2026, 8:41 a.m.
NEDg Description generation batch_69e34fb556648190909c403f5b7709f2 completed April 18, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_69e358f860f08190bfd10519ff3806aa completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:05 p.m.