Triple

T5370993
Position Surface form Disambiguated ID Type / Status
Subject Volusia County E108848 entity
Predicate hasUnincorporatedCommunity P6345 FINISHED
Object DeBary
DeBary is a small city in central Florida known as a residential community along the St. Johns River in Volusia County.
E515781 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: DeBary | Statement: [Volusia County, hasUnincorporatedCommunity, DeBary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DeBary
Context triple: [Volusia County, hasUnincorporatedCommunity, DeBary]
  • A. Diadema
    Diadema is an industrial and densely populated municipality in the Greater São Paulo metropolitan area of southeastern Brazil.
  • B. Heinsius
    Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
  • C. Zea Marina
    Zea Marina is a prominent yacht and leisure marina in Piraeus, Greece, known for its modern facilities and proximity to Athens.
  • D. O’Donojú
    O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
  • E. Bosack
    Bosack is the surname of Leonard Bosack, the computer engineer best known as the co-founder of Cisco Systems.
  • 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: DeBary
Triple: [Volusia County, hasUnincorporatedCommunity, DeBary]
Generated description
DeBary is a small city in central Florida known as a residential community along the St. Johns River in Volusia County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DeBary
Target entity description: DeBary is a small city in central Florida known as a residential community along the St. Johns River in Volusia County.
  • A. Diadema
    Diadema is an industrial and densely populated municipality in the Greater São Paulo metropolitan area of southeastern Brazil.
  • B. Heinsius
    Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
  • C. Zea Marina
    Zea Marina is a prominent yacht and leisure marina in Piraeus, Greece, known for its modern facilities and proximity to Athens.
  • D. O’Donojú
    O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
  • E. Bosack
    Bosack is the surname of Leonard Bosack, the computer engineer best known as the co-founder of Cisco Systems.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd8688b7488190a57baedd52a11b1a completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29307cc481908fa4d8b52711bbd4 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf29d11d2c819095ce493c8866f624 completed March 21, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69bf2aa2a1688190bc41eb5e259d7d1f completed March 21, 2026, 11:32 p.m.
Created at: March 20, 2026, 2:02 p.m.