Triple

T18984453
Position Surface form Disambiguated ID Type / Status
Subject Loudoun County Public Library E464516 entity
Predicate hasBranch P35 FINISHED
Object Rust Library
Rust Library is a public library branch in Loudoun County, Virginia, serving local residents with lending materials, programs, and community services.
 E1352359 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: Rust Library | Statement: [Loudoun County Public Library, hasBranch, Rust Library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rust Library
Context triple: [Loudoun County Public Library, hasBranch, Rust Library]
  • A. Rust
    Rust is a small historic town in Austria’s Burgenland region, renowned for its well-preserved medieval architecture and wine culture along Lake Neusiedl.
  • B. Rust
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • C. Rust
    Rust is a German surname borne by various notable individuals, including figures in politics, academia, and the arts.
  • D. Rust
    Rust is a small, fast-paced multiplayer map in Call of Duty: Modern Warfare 2, known for its vertical design and intense close-quarters combat.
  • E. Rust
    Rust is a city in Contra Costa County, California, that was originally known by this earlier name before becoming El Cerrito.
  • 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: Rust Library
Triple: [Loudoun County Public Library, hasBranch, Rust Library]
Generated description
Rust Library is a public library branch in Loudoun County, Virginia, serving local residents with lending materials, programs, and community services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rust Library
Target entity description: Rust Library is a public library branch in Loudoun County, Virginia, serving local residents with lending materials, programs, and community services.
  • A. Rust
    Rust is a small historic town in Austria’s Burgenland region, renowned for its well-preserved medieval architecture and wine culture along Lake Neusiedl.
  • B. Rust
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • C. Rust
    Rust is a German surname borne by various notable individuals, including figures in politics, academia, and the arts.
  • D. Rust
    Rust is a small, fast-paced multiplayer map in Call of Duty: Modern Warfare 2, known for its vertical design and intense close-quarters combat.
  • E. Rust
    Rust is a city in Contra Costa County, California, that was originally known by this earlier name before becoming El Cerrito.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65ec0bc8190b878252b1b4c3620 completed April 20, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad43dbb88190a34ff757ca925cbf completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05aedf05c4819096ac6a61ada4b310 completed May 14, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_6a05afe523208190a97142cd8e3b887b completed May 14, 2026, 11:20 a.m.
Created at: April 10, 2026, 12:01 p.m.