Triple

T10813047
Position Surface form Disambiguated ID Type / Status
Subject Langley E255150 entity
Predicate hasVariantSpelling P457 FINISHED
Object Langly
Langly is an alternative spelling of the name Langley, which is used as both a surname and a place name.
 E887495 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: Langly | Statement: [Langley, hasVariantSpelling, Langly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Langly
Context triple: [Langley, hasVariantSpelling, Langly]
  • A. Langden
    Langden is an alternative spelling variant of the name Langdon, typically used as a surname or place name.
  • B. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • C. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • D. Westcott
    Westcott is a village in the Mole Valley district of Surrey, England, known for its rural setting in the Surrey Hills.
  • E. Ackerley
    Ackerley is an English surname most notably associated with the writer and editor J. R. Ackerley.
  • 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: Langly
Triple: [Langley, hasVariantSpelling, Langly]
Generated description
Langly is an alternative spelling of the name Langley, which is used as both a surname and a place name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Langly
Target entity description: Langly is an alternative spelling of the name Langley, which is used as both a surname and a place name.
  • A. Langden
    Langden is an alternative spelling variant of the name Langdon, typically used as a surname or place name.
  • B. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • C. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • D. Westcott
    Westcott is a village in the Mole Valley district of Surrey, England, known for its rural setting in the Surrey Hills.
  • E. Ackerley
    Ackerley is an English surname most notably associated with the writer and editor J. R. Ackerley.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eba9b48190b4dbe7fe5d8be0a4 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de853692f08190914cbeaf1a558730 completed April 14, 2026, 6:19 p.m.
NEDg Description generation batch_69de8955b9d8819086ff98efbff6c7a0 completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8f4a318c819086559fd53506ab29 completed April 14, 2026, 7:02 p.m.
Created at: April 8, 2026, 9:18 p.m.