Triple

T6255235
Position Surface form Disambiguated ID Type / Status
Subject Evans County E140145 entity
Predicate hasCommunity P2605 FINISHED
Object Hagan
Hagan is a small city located in Evans County in the state of Georgia, United States.
E580221 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: Hagan | Statement: [Evans County, hasCommunity, Hagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagan
Context triple: [Evans County, hasCommunity, Hagan]
  • A. Haise
    Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
  • B. Barrazas
    Barrazas is a locality or neighborhood that forms part of the municipality of Carolina in Puerto Rico.
  • C. Santarosa
    Santarosa was an Italian nobleman and revolutionary best known for his support of Greek independence and his role among the Philhellenes in the Greek War of Independence.
  • D. Boustany
    Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
  • E. Del Rio
    Del Rio is a border city in southwestern Texas known for its proximity to the Rio Grande and Laughlin Air Force Base.
  • 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: Hagan
Triple: [Evans County, hasCommunity, Hagan]
Generated description
Hagan is a small city located in Evans County in the state of Georgia, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hagan
Target entity description: Hagan is a small city located in Evans County in the state of Georgia, United States.
  • A. Haise
    Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
  • B. Barrazas
    Barrazas is a locality or neighborhood that forms part of the municipality of Carolina in Puerto Rico.
  • C. Santarosa
    Santarosa was an Italian nobleman and revolutionary best known for his support of Greek independence and his role among the Philhellenes in the Greek War of Independence.
  • D. Boustany
    Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
  • E. Del Rio
    Del Rio is a border city in southwestern Texas known for its proximity to the Rio Grande and Laughlin Air Force Base.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06363d6008190bf05e003b1f74497 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2443138788190835ed3fd99f21827 completed March 24, 2026, 7:58 a.m.
NEDg Description generation batch_69c4fb6bb9bc8190a29ae09221aa5464 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc075dd881908230bb66d1445d5a completed March 26, 2026, 9:27 a.m.
Created at: March 22, 2026, 4:24 p.m.