Triple

T3271048
Position Surface form Disambiguated ID Type / Status
Subject Ponta Delgada E68647 entity
Predicate hasParish P35 FINISHED
Object Mosteiros
Mosteiros is a coastal civil parish on the western tip of São Miguel Island in the Azores, known for its volcanic rock formations, natural swimming pools, and scenic Atlantic views.
 E353732 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: Mosteiros | Statement: [Ponta Delgada, hasParish, Mosteiros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mosteiros
Context triple: [Ponta Delgada, hasParish, Mosteiros]
  • A. Sabrosa
    Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
  • B. Portalegre
    Portalegre is a historic city in eastern Portugal known for its medieval architecture, hilltop setting near the São Mamede mountains, and traditional Alentejo culture.
  • C. Espinheiro
    Espinheiro is a central neighborhood in Recife, Brazil, known for its residential areas, commerce, and urban amenities.
  • D. Paderne
    Paderne is a historic village in Portugal’s Algarve region, known for its medieval castle and traditional rural character.
  • E. Alcantarilha e Pêra
    Alcantarilha e Pêra is a civil parish in the municipality of Silves, located in Portugal’s Algarve 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: Mosteiros
Triple: [Ponta Delgada, hasParish, Mosteiros]
Generated description
Mosteiros is a coastal civil parish on the western tip of São Miguel Island in the Azores, known for its volcanic rock formations, natural swimming pools, and scenic Atlantic views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mosteiros
Target entity description: Mosteiros is a coastal civil parish on the western tip of São Miguel Island in the Azores, known for its volcanic rock formations, natural swimming pools, and scenic Atlantic views.
  • A. Sabrosa
    Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
  • B. Portalegre
    Portalegre is a historic city in eastern Portugal known for its medieval architecture, hilltop setting near the São Mamede mountains, and traditional Alentejo culture.
  • C. Espinheiro
    Espinheiro is a central neighborhood in Recife, Brazil, known for its residential areas, commerce, and urban amenities.
  • D. Paderne
    Paderne is a historic village in Portugal’s Algarve region, known for its medieval castle and traditional rural character.
  • E. Alcantarilha e Pêra
    Alcantarilha e Pêra is a civil parish in the municipality of Silves, located in Portugal’s Algarve 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff4b9dc8190b7e3da0bbffccf99 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3341597448190805ff43effb9070c completed March 12, 2026, 9:45 p.m.
NEDg Description generation batch_69b334d1e3348190b231a33058ee08a5 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b33901299481908615762989e45e7c completed March 12, 2026, 10:06 p.m.
Created at: March 8, 2026, 3:09 p.m.