Triple

T10644707
Position Surface form Disambiguated ID Type / Status
Subject Vallès Occidental E250807 entity
Predicate hasMunicipality P847 FINISHED
Object Polinyà
Polinyà is a small municipality in the comarca of Vallès Occidental in Catalonia, Spain, known for its industrial activity and proximity to Barcelona.
E878034 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: Polinyà | Statement: [Vallès Occidental, hasMunicipality, Polinyà]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polinyà
Context triple: [Vallès Occidental, hasMunicipality, Polinyà]
  • A. Drepano
    Drepano is a small coastal village in the Argolis region of Greece, known for its beaches and proximity to the historic town of Nafplio.
  • B. Jacinta
    Jacinta is a feminine given name of Spanish and Portuguese origin, famously borne by Jacinta Marto, one of the child visionaries of Fátima.
  • C. Nigrán
    Nigrán is a coastal municipality in the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
  • D. Palaia
    Palaia is a historic hilltop town in Tuscany, central Italy, known for its medieval architecture, scenic countryside, and traditional rural culture.
  • E. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • 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: Polinyà
Triple: [Vallès Occidental, hasMunicipality, Polinyà]
Generated description
Polinyà is a small municipality in the comarca of Vallès Occidental in Catalonia, Spain, known for its industrial activity and proximity to Barcelona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Polinyà
Target entity description: Polinyà is a small municipality in the comarca of Vallès Occidental in Catalonia, Spain, known for its industrial activity and proximity to Barcelona.
  • A. Drepano
    Drepano is a small coastal village in the Argolis region of Greece, known for its beaches and proximity to the historic town of Nafplio.
  • B. Jacinta
    Jacinta is a feminine given name of Spanish and Portuguese origin, famously borne by Jacinta Marto, one of the child visionaries of Fátima.
  • C. Nigrán
    Nigrán is a coastal municipality in the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
  • D. Palaia
    Palaia is a historic hilltop town in Tuscany, central Italy, known for its medieval architecture, scenic countryside, and traditional rural culture.
  • E. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • 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_69d6dfd04ca88190ac4fffd13c1f33a8 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a4dd4e48190ba7d0291686702e6 completed April 10, 2026, 10:31 p.m.
NEDg Description generation batch_69d97cc07100819088683a0d79b2baa0 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e0cda0c8190af5013b971b2ad3c completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:05 p.m.