Triple

T1889135
Position Surface form Disambiguated ID Type / Status
Subject Harvard Graduate School of Design E41828 entity
Predicate abbreviation P43 FINISHED
Object GSD
GSD is Harvard University's Graduate School of Design, a leading institution for architecture, landscape architecture, urban planning, and design education and research.
 E210165 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: GSD | Statement: [Harvard Graduate School of Design, abbreviation, GSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GSD
Context triple: [Harvard Graduate School of Design, abbreviation, GSD]
  • A. GSD
    GSD is the regional vehicle registration code assigned to the Pomeranian Voivodeship in Poland.
  • B. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • C. GDF
    GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
  • D. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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: GSD
Triple: [Harvard Graduate School of Design, abbreviation, GSD]
Generated description
GSD is Harvard University's Graduate School of Design, a leading institution for architecture, landscape architecture, urban planning, and design education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GSD
Target entity description: GSD is Harvard University's Graduate School of Design, a leading institution for architecture, landscape architecture, urban planning, and design education and research.
  • A. GSD
    GSD is the regional vehicle registration code assigned to the Pomeranian Voivodeship in Poland.
  • B. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • C. GDF
    GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
  • D. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb142e41881908fc7335673a9dec3 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf665bd48190b08ff5159333b99b completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69ade02321b881909e8bb087f6c3acd4 completed March 8, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69ade0d3f77481909cb4c9a57a9fb6a7 completed March 8, 2026, 8:49 p.m.
Created at: March 4, 2026, 7:34 p.m.