Triple

T5724532
Position Surface form Disambiguated ID Type / Status
Subject Congress Park E126229 entity
Predicate overlooks P1323 FINISHED
Object Lake Buena Vista E21656 NE FINISHED

How this triple was built (2 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: Lake Buena Vista | Statement: [Congress Park, overlooks, Lake Buena Vista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Buena Vista
Context triple: [Congress Park, overlooks, Lake Buena Vista]
  • A. Lake Buena Vista, Florida chosen
    Lake Buena Vista, Florida is a small city in Orange County best known as the municipal home of the Walt Disney World Resort and other Disney-related properties.
  • B. Lake Mary
    Lake Mary is a scenic alpine lake near Mammoth Lakes in California, popular for fishing, boating, and outdoor recreation amid mountain and forest surroundings.
  • C. Lauderdale Lakes, Florida
    Lauderdale Lakes, Florida is a small suburban city in Broward County known for its diverse population and residential communities within the Miami metropolitan area.
  • D. Lake Helen
    Lake Helen is a high-elevation alpine lake in California’s Lassen Volcanic National Park, known for its striking blue waters and scenic mountain surroundings.
  • E. Lake Helen
    Lake Helen is a small historic city in Volusia County, Florida, known for its quiet residential character and early-20th-century architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02506d8288190b33bede6c22af773 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a83c88c819097abe565ba010a29 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:47 p.m.