Triple

T10120856
Position Surface form Disambiguated ID Type / Status
Subject Pasco County, Florida E223282 entity
Predicate hasMunicipality P847 FINISHED
Object St. Leo, Florida
St. Leo, Florida is a small town in Pasco County best known as the home of Saint Leo University and its historic, rural setting.
E842510 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: St. Leo, Florida | Statement: [Pasco County, Florida, hasMunicipality, St. Leo, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Leo, Florida
Context triple: [Pasco County, Florida, hasMunicipality, St. Leo, Florida]
  • A. Lee, Florida
    Lee, Florida is a small rural town located in northern Florida within Madison County.
  • B. Lovett, Florida
    Lovett, Florida is a small unincorporated rural community located in Madison County in the northern part of the state.
  • C. Layton, Florida
    Layton, Florida is a small coastal city in the Florida Keys located on Long Key in Monroe County.
  • D. Lloyd, Florida
    Lloyd, Florida is a small unincorporated community in Jefferson County that forms part of the broader Tallahassee metropolitan region.
  • E. Hilliard, Florida
    Hilliard, Florida is a small town in northeastern Florida known for its rural character and location near the Georgia state line.
  • 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: St. Leo, Florida
Triple: [Pasco County, Florida, hasMunicipality, St. Leo, Florida]
Generated description
St. Leo, Florida is a small town in Pasco County best known as the home of Saint Leo University and its historic, rural setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: St. Leo, Florida
Target entity description: St. Leo, Florida is a small town in Pasco County best known as the home of Saint Leo University and its historic, rural setting.
  • A. Lee, Florida
    Lee, Florida is a small rural town located in northern Florida within Madison County.
  • B. Lovett, Florida
    Lovett, Florida is a small unincorporated rural community located in Madison County in the northern part of the state.
  • C. Layton, Florida
    Layton, Florida is a small coastal city in the Florida Keys located on Long Key in Monroe County.
  • D. Lloyd, Florida
    Lloyd, Florida is a small unincorporated community in Jefferson County that forms part of the broader Tallahassee metropolitan region.
  • E. Hilliard, Florida
    Hilliard, Florida is a small town in northeastern Florida known for its rural character and location near the Georgia state line.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd266b18c8190b35fe637c912e756 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc493db88190b3b09a77b82b3cc9 completed April 5, 2026, 8:55 p.m.
NEDg Description generation batch_69d2cd901c148190afb27759cc176f89 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce6da82081908ca6b3621971ca9a completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:04 p.m.