Triple

T14616043
Position Surface form Disambiguated ID Type / Status
Subject Bengo Province E343087 entity
Predicate containsSettlement P847 FINISHED
Object Ambriz
Ambriz is a coastal town and municipality in Angola known for its fishing activities and location at the mouth of the Loge River.
E1110095 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: Ambriz | Statement: [Bengo Province, containsSettlement, Ambriz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambriz
Context triple: [Bengo Province, containsSettlement, Ambriz]
  • A. Calvillo
    Calvillo is a municipality in the Mexican state of Aguascalientes, known for its guava production, colonial architecture, and surrounding natural landscapes.
  • B. Ceballos
    Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
  • C. Gallegos
    Gallegos is a Spanish-language surname most notably associated with Venezuelan novelist and former president Rómulo Gallegos.
  • D. Val Garay
    Val Garay is an American record producer and audio engineer best known for his work on numerous hit pop and rock records from the late 1970s and 1980s.
  • E. Seguin
    Seguin is a small historic city in south-central Texas known for its pecan industry and preserved 19th-century architecture.
  • 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: Ambriz
Triple: [Bengo Province, containsSettlement, Ambriz]
Generated description
Ambriz is a coastal town and municipality in Angola known for its fishing activities and location at the mouth of the Loge River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ambriz
Target entity description: Ambriz is a coastal town and municipality in Angola known for its fishing activities and location at the mouth of the Loge River.
  • A. Calvillo
    Calvillo is a municipality in the Mexican state of Aguascalientes, known for its guava production, colonial architecture, and surrounding natural landscapes.
  • B. Ceballos
    Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
  • C. Gallegos
    Gallegos is a Spanish-language surname most notably associated with Venezuelan novelist and former president Rómulo Gallegos.
  • D. Val Garay
    Val Garay is an American record producer and audio engineer best known for his work on numerous hit pop and rock records from the late 1970s and 1980s.
  • E. Seguin
    Seguin is a small historic city in south-central Texas known for its pecan industry and preserved 19th-century architecture.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda922f29c8190af98a8241d86f7cd completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb26b3ec481909c37e56eca8c7a82 completed May 8, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_69fdb34d945c8190a464c0d4e5612ceb completed May 8, 2026, 9:56 a.m.
Created at: April 10, 2026, 1:25 a.m.