Triple

T14818796
Position Surface form Disambiguated ID Type / Status
Subject Cuanza Sul Province E348387 entity
Predicate hasMunicipality P847 FINISHED
Object Amboim
Amboim is a municipality in Angola known for its agricultural activities within the coastal Cuanza Sul Province.
E1121561 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: Amboim | Statement: [Cuanza Sul Province, hasMunicipality, Amboim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amboim
Context triple: [Cuanza Sul Province, hasMunicipality, Amboim]
  • A. Votuporanga
    Votuporanga is a municipality in northwestern São Paulo state in Brazil, known as a regional commercial and service center with a strong furniture and industrial sector.
  • B. Ambam
    Ambam is a town in Cameroon's South Region, near the borders with Gabon and Equatorial Guinea, known as a local administrative and trading center.
  • C. Amdanga
    Amdanga is a town in the North 24 Parganas district of the Indian state of West Bengal, known primarily as a semi-rural locality within the Kolkata metropolitan region.
  • D. Putijarra
    Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
  • E. Arao
    Arao is a coastal city in southwestern Japan known for its historical coal mining industry and location within Kumamoto Prefecture on Kyushu Island.
  • 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: Amboim
Triple: [Cuanza Sul Province, hasMunicipality, Amboim]
Generated description
Amboim is a municipality in Angola known for its agricultural activities within the coastal Cuanza Sul Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amboim
Target entity description: Amboim is a municipality in Angola known for its agricultural activities within the coastal Cuanza Sul Province.
  • A. Votuporanga
    Votuporanga is a municipality in northwestern São Paulo state in Brazil, known as a regional commercial and service center with a strong furniture and industrial sector.
  • B. Ambam
    Ambam is a town in Cameroon's South Region, near the borders with Gabon and Equatorial Guinea, known as a local administrative and trading center.
  • C. Amdanga
    Amdanga is a town in the North 24 Parganas district of the Indian state of West Bengal, known primarily as a semi-rural locality within the Kolkata metropolitan region.
  • D. Putijarra
    Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
  • E. Arao
    Arao is a coastal city in southwestern Japan known for its historical coal mining industry and location within Kumamoto Prefecture on Kyushu Island.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe4cf38819090f25ef045351d5d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389940e081908ad627955cb8d52e completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3a315d2c81908db44e7792908e39 completed May 8, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69fe3bda81cc8190b256ec6284383dde completed May 8, 2026, 7:39 p.m.
Created at: April 10, 2026, 1:50 a.m.