Triple

T6036918
Position Surface form Disambiguated ID Type / Status
Subject Great Falls, Virginia E134444 entity
Predicate hasLandmark P105 FINISHED
Object Forestville School
Forestville School is a historic educational building and local landmark located in Great Falls, Virginia.
E563622 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: Forestville School | Statement: [Great Falls, Virginia, hasLandmark, Forestville School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forestville School
Context triple: [Great Falls, Virginia, hasLandmark, Forestville School]
  • A. Peter Woodbury School
    Peter Woodbury School is a public elementary school serving young students in the Bedford, New Hampshire community.
  • B. South School
    South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
  • C. South School
    South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
  • D. Union School
    Union School is a public elementary school serving students in the town of Farmington, Connecticut.
  • E. Berry School
    Berry School is a public elementary school serving young students in the town of Bethel, Connecticut.
  • 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: Forestville School
Triple: [Great Falls, Virginia, hasLandmark, Forestville School]
Generated description
Forestville School is a historic educational building and local landmark located in Great Falls, Virginia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Forestville School
Target entity description: Forestville School is a historic educational building and local landmark located in Great Falls, Virginia.
  • A. Peter Woodbury School
    Peter Woodbury School is a public elementary school serving young students in the Bedford, New Hampshire community.
  • B. South School
    South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
  • C. South School
    South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
  • D. Union School
    Union School is a public elementary school serving students in the town of Farmington, Connecticut.
  • E. Berry School
    Berry School is a public elementary school serving young students in the town of Bethel, Connecticut.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056cb06508190a90beb4d9d083835 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139031248190b796a655bf07a4bc completed March 23, 2026, 10:18 a.m.
NEDg Description generation batch_69c11400ddf08190b99943ada6ff2703 completed March 23, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_69c1147e55fc81909225e1fe9e3eeec4 completed March 23, 2026, 10:22 a.m.
Created at: March 22, 2026, 4:08 p.m.