Triple

T23038729
Position Surface form Disambiguated ID Type / Status
Subject Legoland Florida E573677 entity
Predicate hasSection P35 FINISHED
Object Fun Town
Fun Town is a themed area within Legoland Florida featuring family-friendly attractions, shops, and entertainment centered around the playful world of LEGO.
 E1567450 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: Fun Town | Statement: [Legoland Florida, hasSection, Fun Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fun Town
Context triple: [Legoland Florida, hasSection, Fun Town]
  • A. Big Town
    Big Town is a classic American radio drama and later film and television series centered on a crusading newspaper editor fighting crime and corruption.
  • B. Sugar Town
    "Sugar Town" is a 1966 pop song by Nancy Sinatra, known for its light, whimsical style and catchy, laid-back melody.
  • C. Red Town
    Red Town is a historical region associated with the settlement of Krasnaya Sloboda, known for its cultural and regional significance.
  • D. Mob Town
    Mob Town is a historic nickname for the city of Baltimore, reflecting its long-standing reputation for civil unrest and rowdy public gatherings in the 19th century.
  • E. Rhythm City
    Rhythm City is a South African television soap opera centered on the intertwined lives of people in the music and entertainment industry.
  • 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: Fun Town
Triple: [Legoland Florida, hasSection, Fun Town]
Generated description
Fun Town is a themed area within Legoland Florida featuring family-friendly attractions, shops, and entertainment centered around the playful world of LEGO.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fun Town
Target entity description: Fun Town is a themed area within Legoland Florida featuring family-friendly attractions, shops, and entertainment centered around the playful world of LEGO.
  • A. Big Town
    Big Town is a classic American radio drama and later film and television series centered on a crusading newspaper editor fighting crime and corruption.
  • B. Sugar Town
    "Sugar Town" is a 1966 pop song by Nancy Sinatra, known for its light, whimsical style and catchy, laid-back melody.
  • C. Red Town
    Red Town is a historical region associated with the settlement of Krasnaya Sloboda, known for its cultural and regional significance.
  • D. Mob Town
    Mob Town is a historic nickname for the city of Baltimore, reflecting its long-standing reputation for civil unrest and rowdy public gatherings in the 19th century.
  • E. Rhythm City
    Rhythm City is a South African television soap opera centered on the intertwined lives of people in the music and entertainment industry.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f185121da0819095b523d7d2c923ab completed April 29, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2ba6cd48190adfde89532b51f43 completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0c0332a0288190a51b29aa03e1969a completed May 19, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0c04d4722c8190967b59808f6c1e36 completed May 19, 2026, 6:36 a.m.
Created at: April 17, 2026, 3:53 p.m.