Triple

T14928033
Position Surface form Disambiguated ID Type / Status
Subject Avalon mixed-use development E372182 entity
Predicate name P16 FINISHED
Object Avalon
Avalon is a contemporary mixed-use development that combines residential, retail, dining, and entertainment spaces in a walkable, urban-style environment.
E1127320 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: Avalon | Statement: [Avalon mixed-use development, name, Avalon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avalon
Context triple: [Avalon mixed-use development, name, Avalon]
  • A. Avalon
    "Avalon" is a 1982 art rock album by Roxy Music, widely regarded as one of their most polished and influential works.
  • B. Avalon
    "Avalon" is a notable work by Mark Johnson, likely recognized as one of his significant creative or scholarly contributions.
  • C. Avalon
    Avalon is a federal electoral district in Newfoundland and Labrador, Canada, represented in the House of Commons.
  • D. Avalon
    "Avalon" is a 1990 American drama film chronicling the experiences and generational conflicts of a Jewish immigrant family in mid-20th-century Baltimore.
  • E. Avalon
    "Avalon" is a popular jazz standard from the early 20th century that became widely known through swing-era performances and recordings.
  • 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: Avalon
Triple: [Avalon mixed-use development, name, Avalon]
Generated description
Avalon is a contemporary mixed-use development that combines residential, retail, dining, and entertainment spaces in a walkable, urban-style environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avalon
Target entity description: Avalon is a contemporary mixed-use development that combines residential, retail, dining, and entertainment spaces in a walkable, urban-style environment.
  • A. Avalon
    Avalon is a master-planned residential community in Sugar Land, Texas, known for its organized layout, amenities, and suburban lifestyle.
  • B. Avalon
    Avalon is a residential suburb in the Hutt Valley region near Wellington, New Zealand, known for its housing developments and local amenities.
  • C. Avalon
    Avalon is a popular seaside resort town on the Jersey Shore in New Jersey, known for its beaches, vacation homes, and family-friendly atmosphere.
  • D. Avalon
    Avalon is the main resort town and only incorporated city on Santa Catalina Island, known for its picturesque harbor, tourism, and Mediterranean-style waterfront.
  • E. Avalon
    Avalon is a spaceborne sanctuary and stronghold associated with the Marvel Comics character Magneto, often depicted as a refuge for mutants.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded634e67881909daec9eaef188d09 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c4f9c481909642efccb29f71d4 completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe744b9c048190ae2a64da53d8ffac completed May 8, 2026, 11:39 p.m.
NED2 Entity disambiguation (via description) batch_69fe74d510808190a2379a2380fc327e completed May 8, 2026, 11:42 p.m.
Created at: April 10, 2026, 2:35 a.m.