Triple

T10566676
Position Surface form Disambiguated ID Type / Status
Subject Dayton Art Institute E249366 entity
Predicate hasAlternateName P39 FINISHED
Object DAI
DAI is a prominent fine arts museum in Dayton, Ohio, known for its diverse art collections, educational programs, and cultural exhibitions.
 E872892 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: DAI | Statement: [Dayton Art Institute, hasAlternateName, DAI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DAI
Context triple: [Dayton Art Institute, hasAlternateName, DAI]
  • A. DAI
    DAI is the commonly used abbreviation for the German Archaeological Institute, a leading international institution for archaeological research and cultural heritage preservation.
  • B. Dai
    Dai is a common Welsh given name, often used as a familiar or diminutive form of David.
  • C. Dai
    The Dai are an ethnic group in southern China and Southeast Asia, culturally related to the Thai and Lao peoples and known for their Theravada Buddhist traditions, distinctive festivals, and stilted wooden houses.
  • D. DA
    DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
  • E. DA
    DA is the vehicle registration code for the German city of Darmstadt and its surrounding district in the state of Hesse.
  • 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: DAI
Triple: [Dayton Art Institute, hasAlternateName, DAI]
Generated description
DAI is a prominent fine arts museum in Dayton, Ohio, known for its diverse art collections, educational programs, and cultural exhibitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DAI
Target entity description: DAI is a prominent fine arts museum in Dayton, Ohio, known for its diverse art collections, educational programs, and cultural exhibitions.
  • A. DAI
    DAI is the commonly used abbreviation for the German Archaeological Institute, a leading international institution for archaeological research and cultural heritage preservation.
  • B. Dai
    Dai is a common Welsh given name, often used as a familiar or diminutive form of David.
  • C. Dai
    The Dai are an ethnic group in southern China and Southeast Asia, culturally related to the Thai and Lao peoples and known for their Theravada Buddhist traditions, distinctive festivals, and stilted wooden houses.
  • D. DA
    DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
  • E. DA
    DA is the vehicle registration code for the German city of Darmstadt and its surrounding district in the state of Hesse.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ce78c8190bf3227053ef88a48 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b42879481909f9c98b2579c10a1 completed April 10, 2026, 7:10 p.m.
NEDg Description generation batch_69d94d67e16481908efb939a3e65004c completed April 10, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69d95227a1f48190ab847606a9ae0500 completed April 10, 2026, 7:40 p.m.
Created at: April 6, 2026, 12:36 p.m.