Triple

T4656153
Position Surface form Disambiguated ID Type / Status
Subject Daphne E102413 entity
Predicate hasMiddleSchool P113 FINISHED
Object Daphne Middle School
Daphne Middle School is a public middle school serving students in the city of Daphne, Alabama.
E462678 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: Daphne Middle School | Statement: [Daphne, hasMiddleSchool, Daphne Middle School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daphne Middle School
Context triple: [Daphne, hasMiddleSchool, Daphne Middle School]
  • A. Daphne High School
    Daphne High School is a public secondary school serving students in the city of Daphne, Alabama.
  • B. Stone Middle School
    Stone Middle School is a public middle school serving students in the Centreville area.
  • C. Oak Middle School
    Oak Middle School is a public middle school serving students in the town of Shrewsbury, Massachusetts.
  • D. McDougle Middle School
    McDougle Middle School is a public middle school serving students in the Carrboro–Chapel Hill area of North Carolina.
  • E. Mill Middle School
    Mill Middle School is a public middle school serving students in the Williamsville Central School District in Williamsville, New York.
  • 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: Daphne Middle School
Triple: [Daphne, hasMiddleSchool, Daphne Middle School]
Generated description
Daphne Middle School is a public middle school serving students in the city of Daphne, Alabama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daphne Middle School
Target entity description: Daphne Middle School is a public middle school serving students in the city of Daphne, Alabama.
  • A. Daphne High School
    Daphne High School is a public secondary school serving students in the city of Daphne, Alabama.
  • B. Stone Middle School
    Stone Middle School is a public middle school serving students in the Centreville area.
  • C. Oak Middle School
    Oak Middle School is a public middle school serving students in the town of Shrewsbury, Massachusetts.
  • D. McDougle Middle School
    McDougle Middle School is a public middle school serving students in the Carrboro–Chapel Hill area of North Carolina.
  • E. Mill Middle School
    Mill Middle School is a public middle school serving students in the Williamsville Central School District in Williamsville, New York.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63193a108190a7d9aec1d1d40cf8 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0378825881908fe3214f60be579e completed March 21, 2026, 2:33 a.m.
NEDg Description generation batch_69be04c5549c819087204ac7e2e0e8ea completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05970dcc8190a86771d09f27d9f2 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:14 p.m.