Triple

T9448356
Position Surface form Disambiguated ID Type / Status
Subject River Bann E227822 entity
Predicate alsoKnownAs P39 FINISHED
Object Bann
Bann is an alternative name for the River Bann, one of the longest and most significant rivers in Northern Ireland.
 E799250 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: Bann | Statement: [River Bann, alsoKnownAs, Bann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bann
Context triple: [River Bann, alsoKnownAs, Bann]
  • A. Bannik
    Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
  • B. Banes
    Banes is a coastal municipality in eastern Cuba’s Holguín Province, historically known for its sugar industry and archaeological sites.
  • C. Banabans
    Banabans are an indigenous Micronesian people originally from the island of Banaba in present-day Kiribati, known for their displacement due to extensive phosphate mining during the 20th century.
  • D. Bage
    Bage is a river in southern France that serves as one of the main tributaries feeding the Lac de Pareloup reservoir.
  • E. Boknal
    Boknal refers to the three hottest days of summer in South Korea, traditionally marked by eating stamina-boosting foods like samgyetang to combat the heat.
  • 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: Bann
Triple: [River Bann, alsoKnownAs, Bann]
Generated description
Bann is an alternative name for the River Bann, one of the longest and most significant rivers in Northern Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bann
Target entity description: Bann is an alternative name for the River Bann, one of the longest and most significant rivers in Northern Ireland.
  • A. Bannik
    Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
  • B. Banes
    Banes is a coastal municipality in eastern Cuba’s Holguín Province, historically known for its sugar industry and archaeological sites.
  • C. Banabans
    Banabans are an indigenous Micronesian people originally from the island of Banaba in present-day Kiribati, known for their displacement due to extensive phosphate mining during the 20th century.
  • D. Bage
    Bage is a river in southern France that serves as one of the main tributaries feeding the Lac de Pareloup reservoir.
  • E. Boknal
    Boknal refers to the three hottest days of summer in South Korea, traditionally marked by eating stamina-boosting foods like samgyetang to combat the heat.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f62dfa48190bf318777d97f0f2a completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1106f38448190bfdc289eb987e33f completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d110eeddc881908661d110269b8a1c completed April 4, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_69d111f3190c8190ba2fe5687212da25 completed April 4, 2026, 1:28 p.m.
Created at: March 30, 2026, 7:51 p.m.