Triple

T18736789
Position Surface form Disambiguated ID Type / Status
Subject Mosteiros E458182 entity
Predicate hasSettlement P1068 FINISHED
Object Feijoal
Feijoal is a small settlement associated with the municipality of Mosteiros, likely located in a Portuguese-speaking island region such as Cape Verde.
 E1340833 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: Feijoal | Statement: [Mosteiros, hasSettlement, Feijoal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Feijoal
Context triple: [Mosteiros, hasSettlement, Feijoal]
  • A. Jipijapa
    Jipijapa is a city in coastal Ecuador known historically for its production of Panama hats and its agricultural economy.
  • B. Gurabeña
    Gurabeña is the Spanish term for a female resident or native of the municipality of Gurabo in Puerto Rico.
  • C. Barugo
    Barugo is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural economy and rural communities.
  • D. Macua
    Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
  • E. Pastaza
    Pastaza is a large, sparsely populated province in eastern Ecuador known for its Amazon rainforest, rich biodiversity, and indigenous communities.
  • 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: Feijoal
Triple: [Mosteiros, hasSettlement, Feijoal]
Generated description
Feijoal is a small settlement associated with the municipality of Mosteiros, likely located in a Portuguese-speaking island region such as Cape Verde.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Feijoal
Target entity description: Feijoal is a small settlement associated with the municipality of Mosteiros, likely located in a Portuguese-speaking island region such as Cape Verde.
  • A. Jipijapa
    Jipijapa is a city in coastal Ecuador known historically for its production of Panama hats and its agricultural economy.
  • B. Gurabeña
    Gurabeña is the Spanish term for a female resident or native of the municipality of Gurabo in Puerto Rico.
  • C. Barugo
    Barugo is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural economy and rural communities.
  • D. Macua
    Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
  • E. Pastaza
    Pastaza is a large, sparsely populated province in eastern Ecuador known for its Amazon rainforest, rich biodiversity, and indigenous communities.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57689fa508190ad821d361cba9edf completed April 20, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053261c074819081acb03dd7f8f62a completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a05369aa0488190b05cb5d1204db6d3 completed May 14, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a053766f7b48190b3b01ee99b22f57d completed May 14, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:51 a.m.