Triple

T10016666
Position Surface form Disambiguated ID Type / Status
Subject Naselle, Washington E199512 entity
Predicate hasMiddleSchool P113 FINISHED
Object Naselle Middle School
Naselle Middle School is a public middle school serving students in the small rural community of Naselle in southwestern Washington State.
E839177 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: Naselle Middle School | Statement: [Naselle, Washington, hasMiddleSchool, Naselle Middle School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naselle Middle School
Context triple: [Naselle, Washington, hasMiddleSchool, Naselle Middle School]
  • A. Naselle High School
    Naselle High School is a public secondary school serving students in the small rural community of Naselle in southwestern Washington State.
  • B. Stone Middle School
    Stone Middle School is a public middle school serving students in the Centreville area.
  • C. Galvin Middle School
    Galvin Middle School is a public middle school serving students in the town of Wakefield, Massachusetts.
  • D. South Middle School
    South Middle School is a public middle school in Braintree, Massachusetts, serving students in the Braintree Public Schools district.
  • E. Oak Middle School
    Oak Middle School is a public middle school serving students in the town of Shrewsbury, Massachusetts.
  • 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: Naselle Middle School
Triple: [Naselle, Washington, hasMiddleSchool, Naselle Middle School]
Generated description
Naselle Middle School is a public middle school serving students in the small rural community of Naselle in southwestern Washington State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naselle Middle School
Target entity description: Naselle Middle School is a public middle school serving students in the small rural community of Naselle in southwestern Washington State.
  • A. Naselle High School
    Naselle High School is a public secondary school serving students in the small rural community of Naselle in southwestern Washington State.
  • B. Stone Middle School
    Stone Middle School is a public middle school serving students in the Centreville area.
  • C. Galvin Middle School
    Galvin Middle School is a public middle school serving students in the town of Wakefield, Massachusetts.
  • D. South Middle School
    South Middle School is a public middle school in Braintree, Massachusetts, serving students in the Braintree Public Schools district.
  • E. Oak Middle School
    Oak Middle School is a public middle school serving students in the town of Shrewsbury, Massachusetts.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4c17848190bf1a8017e755ba75 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a0bab488190ac227259232d004a completed April 5, 2026, 5:21 p.m.
NEDg Description generation batch_69d29e04fa5c81908a8e0863c036c7f1 completed April 5, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69d29e5648608190a4fa1c7025d38ffd completed April 5, 2026, 5:39 p.m.
Created at: March 30, 2026, 8:53 p.m.