Triple

T12586016
Position Surface form Disambiguated ID Type / Status
Subject Warren Consolidated Schools E300462 entity
Predicate hasSchool P113 FINISHED
Object Beer Middle School
Beer Middle School is a public middle school in Michigan that serves students in grades 6–8 as part of the Warren Consolidated Schools district.
 E991741 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: Beer Middle School | Statement: [Warren Consolidated Schools, hasSchool, Beer Middle School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beer Middle School
Context triple: [Warren Consolidated Schools, hasSchool, Beer Middle School]
  • A. Beer
    Beer is a picturesque coastal village in Devon, England, known for its historic fishing heritage, limestone cliffs, and scenic pebble beach.
  • B. Beery
    Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
  • C. Snow Beer
    Snow Beer is a popular Chinese lager that has become one of the world’s best-selling beer brands by volume.
  • D. Bier
    Bier is a surname of German origin borne by various individuals, including the Danish film director Susanne Bier.
  • E. Beers
    Beers is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Land van Cuijk.
  • 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: Beer Middle School
Triple: [Warren Consolidated Schools, hasSchool, Beer Middle School]
Generated description
Beer Middle School is a public middle school in Michigan that serves students in grades 6–8 as part of the Warren Consolidated Schools district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beer Middle School
Target entity description: Beer Middle School is a public middle school in Michigan that serves students in grades 6–8 as part of the Warren Consolidated Schools district.
  • A. Beer
    Beer is a picturesque coastal village in Devon, England, known for its historic fishing heritage, limestone cliffs, and scenic pebble beach.
  • B. Beery
    Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
  • C. Snow Beer
    Snow Beer is a popular Chinese lager that has become one of the world’s best-selling beer brands by volume.
  • D. Bier
    Bier is a surname of German origin borne by various individuals, including the Danish film director Susanne Bier.
  • E. Beers
    Beers is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Land van Cuijk.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bbe72c8190aa11090bb6b480c9 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebcfca8819083c26a3d5f94ccdf completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65faf33e0819092df07a5fa98cb73 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f66036f520819098af75cd5578d573 completed May 2, 2026, 8:36 p.m.
Created at: April 9, 2026, 5:04 p.m.