Triple

T17776861
Position Surface form Disambiguated ID Type / Status
Subject Whitehouse, Texas E443792 entity
Predicate hasElementarySchool P113 FINISHED
Object Brown Elementary School
Brown Elementary School is a public primary school serving young students in the community of Whitehouse, Texas.
E1286626 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: Brown Elementary School | Statement: [Whitehouse, Texas, hasElementarySchool, Brown Elementary School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brown Elementary School
Context triple: [Whitehouse, Texas, hasElementarySchool, Brown Elementary School]
  • A. Brown Elementary School
    Brown Elementary School is a public primary school serving young students in the Channelview, Texas community.
  • B. Brown Elementary School
    Brown Elementary School is a public primary school serving young students in the town of Swansea, Massachusetts.
  • C. Brown Elementary School
    Brown Elementary School is a public elementary school in Natick, Massachusetts, serving young students as part of the Natick Public Schools district.
  • D. Bell Elementary School
    Bell Elementary School is a public primary school serving young students in the small town of Bell, Florida.
  • E. Smith Elementary School
    Smith Elementary School is a public elementary school serving young students in the Danvers Public Schools district in Danvers, 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: Brown Elementary School
Triple: [Whitehouse, Texas, hasElementarySchool, Brown Elementary School]
Generated description
Brown Elementary School is a public primary school serving young students in the community of Whitehouse, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brown Elementary School
Target entity description: Brown Elementary School is a public primary school serving young students in the community of Whitehouse, Texas.
  • A. Brown Elementary School
    Brown Elementary School is a public primary school serving young students in the Channelview, Texas community.
  • B. Brown Elementary School
    Brown Elementary School is a public primary school serving young students in the town of Swansea, Massachusetts.
  • C. Brown Elementary School
    Brown Elementary School is a public elementary school in Natick, Massachusetts, serving young students as part of the Natick Public Schools district.
  • D. Bell Elementary School
    Bell Elementary School is a public primary school serving young students in the small town of Bell, Florida.
  • E. Smith Elementary School
    Smith Elementary School is a public elementary school serving young students in the Danvers Public Schools district in Danvers, 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871d43a481908aacde69bd8091b0 completed April 19, 2026, 7:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efc9c0e88190977da0421df6b1a7 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f08892e08190a75c4e523366feda completed May 12, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a02f18036788190ad1a2893fd104261 completed May 12, 2026, 9:23 a.m.
Created at: April 10, 2026, 10:12 a.m.