Triple

T3501091
Position Surface form Disambiguated ID Type / Status
Subject Disability Resources and Educational Services E73968 entity
Predicate shortName P43 FINISHED
Object DRES
DRES is a university-based program that provides support services and accommodations to students with disabilities to ensure equal access to education.
 E364144 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: DRES | Statement: [Disability Resources and Educational Services, shortName, DRES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DRES
Context triple: [Disability Resources and Educational Services, shortName, DRES]
  • A. Drees
    Drees is a Dutch surname most notably associated with Willem Drees, a prominent 20th-century Dutch prime minister.
  • B. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • C. DRO
    DRO is the commonly used acronym for the Division of Regional Operations, an organizational unit that oversees and coordinates activities across multiple geographic regions.
  • D. DSC
    The Distinguished Service Cross (DSC) is a high-level military decoration awarded for extraordinary heroism in combat, primarily associated with the United States Army.
  • E. DSC
    DSC is a widely used introductory textbook on database systems that covers fundamental concepts such as data models, SQL, and database design.
  • 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: DRES
Triple: [Disability Resources and Educational Services, shortName, DRES]
Generated description
DRES is a university-based program that provides support services and accommodations to students with disabilities to ensure equal access to education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DRES
Target entity description: DRES is a university-based program that provides support services and accommodations to students with disabilities to ensure equal access to education.
  • A. Drees
    Drees is a Dutch surname most notably associated with Willem Drees, a prominent 20th-century Dutch prime minister.
  • B. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • C. DRO
    DRO is the commonly used acronym for the Division of Regional Operations, an organizational unit that oversees and coordinates activities across multiple geographic regions.
  • D. DSC
    The Distinguished Service Cross (DSC) is a high-level military decoration awarded for extraordinary heroism in combat, primarily associated with the United States Army.
  • E. DSC
    DSC is a widely used introductory textbook on database systems that covers fundamental concepts such as data models, SQL, and database design.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd5fbe8819091b61fa8df355f0c completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d88dc08190a8508f990b01cf03 completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b3779133788190a17b2d8a51587682 completed March 13, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69b377facc048190849ccd4ddcd9b442 completed March 13, 2026, 2:35 a.m.
Created at: March 8, 2026, 3:18 p.m.