Triple

T9309395
Position Surface form Disambiguated ID Type / Status
Subject Province of A Coruña E223969 entity
Predicate contains P35 FINISHED
Object Oleiros
Oleiros is a coastal municipality in northwestern Spain known for its residential areas, beaches, and proximity to the city of A Coruña in Galicia.
 E791595 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: Oleiros | Statement: [Province of A Coruña, contains, Oleiros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oleiros
Context triple: [Province of A Coruña, contains, Oleiros]
  • A. Oleiros
    Oleiros is a municipality in central Portugal known for its rural landscapes, traditional villages, and forested mountain scenery.
  • B. Feteiras
    Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • C. Odeleite
    Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
  • D. Graneros
    Graneros is a Chilean city located in the agricultural Cachapoal Valley of the O'Higgins Region, known for its farming activities and proximity to the regional capital, Rancagua.
  • E. Bortigiadas
    Bortigiadas is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • 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: Oleiros
Triple: [Province of A Coruña, contains, Oleiros]
Generated description
Oleiros is a coastal municipality in northwestern Spain known for its residential areas, beaches, and proximity to the city of A Coruña in Galicia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oleiros
Target entity description: Oleiros is a coastal municipality in northwestern Spain known for its residential areas, beaches, and proximity to the city of A Coruña in Galicia.
  • A. Oleiros
    Oleiros is a municipality in central Portugal known for its rural landscapes, traditional villages, and forested mountain scenery.
  • B. Feteiras
    Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • C. Odeleite
    Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
  • D. Graneros
    Graneros is a Chilean city located in the agricultural Cachapoal Valley of the O'Higgins Region, known for its farming activities and proximity to the regional capital, Rancagua.
  • E. Bortigiadas
    Bortigiadas is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd1daba67c819081d53545d67ef127 completed April 1, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c78dfd80819099ab75df01016319 completed April 4, 2026, 8:10 a.m.
NEDg Description generation batch_69d0cbb518708190a896b0bf1fb7c9c7 completed April 4, 2026, 8:28 a.m.
NED2 Entity disambiguation (via description) batch_69d0cc49215c8190894fe206d0230134 completed April 4, 2026, 8:31 a.m.
Created at: March 30, 2026, 7:37 p.m.