Triple

T16092785
Position Surface form Disambiguated ID Type / Status
Subject municipality of Ribeira Brava E390398 entity
Predicate containsSettlement P847 FINISHED
Object Talho
Talho is a settlement located within the municipality of Ribeira Brava in Cape Verde.
 E1194960 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: Talho | Statement: [municipality of Ribeira Brava, containsSettlement, Talho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talho
Context triple: [municipality of Ribeira Brava, containsSettlement, Talho]
  • A. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • B. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • C. Talauma
    Talauma is a genus of flowering plants in the magnolia family, known for its large, often fragrant blossoms and tropical to subtropical distribution.
  • D. Taloot
    Taloot is a coastal barangay of the municipality of Argao in Cebu, Philippines.
  • E. Talavan
    Talavan is one of the twelve sacred forests of the Vraja (Vrindavan) region in Hindu tradition, associated with the pastimes of Lord Krishna.
  • 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: Talho
Triple: [municipality of Ribeira Brava, containsSettlement, Talho]
Generated description
Talho is a settlement located within the municipality of Ribeira Brava in Cape Verde.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talho
Target entity description: Talho is a settlement located within the municipality of Ribeira Brava in Cape Verde.
  • A. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • B. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • C. Talauma
    Talauma is a genus of flowering plants in the magnolia family, known for its large, often fragrant blossoms and tropical to subtropical distribution.
  • D. Taloot
    Taloot is a coastal barangay of the municipality of Argao in Cebu, Philippines.
  • E. Talavan
    Talavan is one of the twelve sacred forests of the Vraja (Vrindavan) region in Hindu tradition, associated with the pastimes of Lord Krishna.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858ed09881909bde122971d95753 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb973c88819091fe284420088e7e completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffed3d57388190a4d0faa58ee2a27b completed May 10, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69ffedfb88a881909e6adbb3a372246b completed May 10, 2026, 2:31 a.m.
Created at: April 10, 2026, 4:59 a.m.