Triple

T13142445
Position Surface form Disambiguated ID Type / Status
Subject Danbury, Texas E312241 entity
Predicate hasPublicSchool P113 FINISHED
Object Danbury Middle School
Danbury Middle School is a public middle school serving students in the small community of Danbury, Texas.
 E1026128 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: Danbury Middle School | Statement: [Danbury, Texas, hasPublicSchool, Danbury Middle School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Danbury Middle School
Context triple: [Danbury, Texas, hasPublicSchool, Danbury Middle School]
  • A. Danbury High School
    Danbury High School is a public secondary school serving students in the small community of Danbury, Texas.
  • B. Danbury Normal School
    Danbury Normal School was a teacher-training institution that later evolved into what is now Western Connecticut State University.
  • C. Westport Middle School
    Westport Middle School is a public middle school serving students in the town of Westport, Massachusetts.
  • D. Sayville Middle School
    Sayville Middle School is a public middle school serving early adolescent students in the Sayville community of Long Island, New York.
  • E. Bridgeport Middle School
    Bridgeport Middle School is a public middle school serving students in the Tigard-Tualatin area of Oregon as part of the Tigard-Tualatin School District.
  • 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: Danbury Middle School
Triple: [Danbury, Texas, hasPublicSchool, Danbury Middle School]
Generated description
Danbury Middle School is a public middle school serving students in the small community of Danbury, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Danbury Middle School
Target entity description: Danbury Middle School is a public middle school serving students in the small community of Danbury, Texas.
  • A. Danbury High School
    Danbury High School is a public secondary school serving students in the small community of Danbury, Texas.
  • B. Danbury Normal School
    Danbury Normal School was a teacher-training institution that later evolved into what is now Western Connecticut State University.
  • C. Westport Middle School
    Westport Middle School is a public middle school serving students in the town of Westport, Massachusetts.
  • D. Sayville Middle School
    Sayville Middle School is a public middle school serving early adolescent students in the Sayville community of Long Island, New York.
  • E. Bridgeport Middle School
    Bridgeport Middle School is a public middle school serving students in the Tigard-Tualatin area of Oregon as part of the Tigard-Tualatin School District.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981d24da48190b99e713878e8d003 completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5d809948190aced5ce377402463 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f6e10f2481909b405169dd7e5cf9 completed May 3, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6f73b301881909d792dfebd2e468f completed May 3, 2026, 7:20 a.m.
Created at: April 9, 2026, 9:10 p.m.