Triple

T13820538
Position Surface form Disambiguated ID Type / Status
Subject Betharamphtha E332122 entity
Predicate knownAs P39 FINISHED
Object Betharampta
Betharampta is an alternative name or spelling for the entity known as Betharamphtha.
E1063244 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: Betharampta | Statement: [Betharamphtha, knownAs, Betharampta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betharampta
Context triple: [Betharamphtha, knownAs, Betharampta]
  • A. White Haven
    White Haven is a coastal town in Cumbria, England, known for its historic harbor and Georgian architecture.
  • B. Airmont
    Airmont is Intel’s low-power CPU microarchitecture designed as an energy-efficient evolution of its Atom line, primarily used in mobile and compact computing devices.
  • C. Ramsayville
    Ramsayville is the former name of the town now known as Almonte in Ontario, Canada.
  • D. Talmont
    Talmont is a historic coastal village in southwestern France, known for its medieval architecture and scenic position overlooking the Gironde estuary.
  • E. Trewoon
    Trewoon is a village in Cornwall, England, situated just outside the town of St Austell.
  • 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: Betharampta
Triple: [Betharamphtha, knownAs, Betharampta]
Generated description
Betharampta is an alternative name or spelling for the entity known as Betharamphtha.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Betharampta
Target entity description: Betharampta is an alternative name or spelling for the entity known as Betharamphtha.
  • A. White Haven
    White Haven is a coastal town in Cumbria, England, known for its historic harbor and Georgian architecture.
  • B. Airmont
    Airmont is Intel’s low-power CPU microarchitecture designed as an energy-efficient evolution of its Atom line, primarily used in mobile and compact computing devices.
  • C. Ramsayville
    Ramsayville is the former name of the town now known as Almonte in Ontario, Canada.
  • D. Talmont
    Talmont is a historic coastal village in southwestern France, known for its medieval architecture and scenic position overlooking the Gironde estuary.
  • E. Trewoon
    Trewoon is a village in Cornwall, England, situated just outside the town of St Austell.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0282d4d08190b754cda7683408c4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e41f448190baabfd06d78b45b7 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9f9651081909bdbd509dd60c20e completed May 3, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba936c4481908757699ff22d3904 completed May 3, 2026, 9:13 p.m.
Created at: April 9, 2026, 10:12 p.m.