Triple

T4990437
Position Surface form Disambiguated ID Type / Status
Subject Santiago E112115 entity
Predicate containsMunicipality P852 FINISHED
Object São Domingos
São Domingos is a municipality on the island of Santiago in Cape Verde, known for its rural landscapes and traditional Cape Verdean culture.
 E485386 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: São Domingos | Statement: [Santiago, containsMunicipality, São Domingos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: São Domingos
Context triple: [Santiago, containsMunicipality, São Domingos]
  • A. São Domingos de Ana Loura
    São Domingos de Ana Loura is a small civil parish in the municipality of Estremoz, in Portugal’s Alentejo region.
  • B. Santa Cruz das Flores
    Santa Cruz das Flores is the main town and administrative center of Flores Island in Portugal’s Azores archipelago.
  • C. São Bento
    São Bento is a civil parish within the municipality of Angra do Heroísmo on Terceira Island in Portugal’s Azores archipelago.
  • D. Vila do Bispo
    Vila do Bispo is a small coastal municipality in Portugal’s Algarve region, known for its rugged Atlantic cliffs, beaches, and proximity to the southwestern tip of mainland Europe.
  • E. São Sebastião
    São Sebastião is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • 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: São Domingos
Triple: [Santiago, containsMunicipality, São Domingos]
Generated description
São Domingos is a municipality on the island of Santiago in Cape Verde, known for its rural landscapes and traditional Cape Verdean culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: São Domingos
Target entity description: São Domingos is a municipality on the island of Santiago in Cape Verde, known for its rural landscapes and traditional Cape Verdean culture.
  • A. São Domingos de Ana Loura
    São Domingos de Ana Loura is a small civil parish in the municipality of Estremoz, in Portugal’s Alentejo region.
  • B. Santa Cruz das Flores
    Santa Cruz das Flores is the main town and administrative center of Flores Island in Portugal’s Azores archipelago.
  • C. São Bento
    São Bento is a civil parish within the municipality of Angra do Heroísmo on Terceira Island in Portugal’s Azores archipelago.
  • D. Vila do Bispo
    Vila do Bispo is a small coastal municipality in Portugal’s Algarve region, known for its rugged Atlantic cliffs, beaches, and proximity to the southwestern tip of mainland Europe.
  • E. São Sebastião
    São Sebastião is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd727fe55881909d42e41b832b9ece completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a282dd08190a29b92e8e825a3bb completed March 21, 2026, 12:08 p.m.
NEDg Description generation batch_69be8d747c40819098ac5d475d60ab46 completed March 21, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_69be8df7ab9c8190b1af6e32f0f33b30 completed March 21, 2026, 12:24 p.m.
Created at: March 20, 2026, 1:34 p.m.