Triple

T3278800
Position Surface form Disambiguated ID Type / Status
Subject Cliff E68822 entity
Predicate hasSpellingVariant P457 FINISHED
Object Cliffe
Cliffe is a place name and surname variant of "Cliff," commonly found in English-speaking regions.
 E344861 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: Cliffe | Statement: [Cliff, hasSpellingVariant, Cliffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cliffe
Context triple: [Cliff, hasSpellingVariant, Cliffe]
  • A. Ratcliffe
    Ratcliffe is a surname most commonly associated with various historical figures, places, and buildings in English-speaking countries.
  • B. Hythe
    Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
  • C. Lankershim
    Lankershim is a surname most notably associated with Isaac Lankershim, a 19th-century landowner and developer influential in the early growth of the Los Angeles area.
  • D. Three Cliffs Bay
    Three Cliffs Bay is a picturesque, cliff-framed sandy bay in South Wales renowned for its dramatic limestone peaks, tidal beach, and popularity with walkers and photographers.
  • E. Blackley
    Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
  • 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: Cliffe
Triple: [Cliff, hasSpellingVariant, Cliffe]
Generated description
Cliffe is a place name and surname variant of "Cliff," commonly found in English-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cliffe
Target entity description: Cliffe is a place name and surname variant of "Cliff," commonly found in English-speaking regions.
  • A. Ratcliffe
    Ratcliffe is a surname most commonly associated with various historical figures, places, and buildings in English-speaking countries.
  • B. Hythe
    Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
  • C. Lankershim
    Lankershim is a surname most notably associated with Isaac Lankershim, a 19th-century landowner and developer influential in the early growth of the Los Angeles area.
  • D. Three Cliffs Bay
    Three Cliffs Bay is a picturesque, cliff-framed sandy bay in South Wales renowned for its dramatic limestone peaks, tidal beach, and popularity with walkers and photographers.
  • E. Blackley
    Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0155430819097c806ee407dc1e4 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e84ddd24819094a47269023f9889 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8d04e508190916455fa2f4702b5 completed March 12, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69b2ed0f862c81909d9a279bea549339 completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3:10 p.m.