Triple

T7999603
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Access E186212 entity
Predicate supports P516 FINISHED
Object DAO
DAO (Data Access Objects) is an older Microsoft data access technology that provides an object-oriented interface for working with databases, particularly Jet/Access databases.
 E703950 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: DAO | Statement: [Microsoft Access, supports, DAO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DAO
Context triple: [Microsoft Access, supports, DAO]
  • A. DAOO
    DAOO is the ICAO airport code assigned to Oran Ahmed Ben Bella Airport in Oran, Algeria.
  • B. Dao
    Dao is a municipality in the province of Capiz in the Philippines, known for its predominantly rural communities and agricultural economy.
  • C. Dao
    Dao is the fundamental principle in Chinese philosophy and religion that denotes the natural, ineffable way or path underlying and guiding the universe and human life.
  • D. ERC
    The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
  • E. ERC
    ERC is a professional ice hockey club based in Ingolstadt, Germany, competing in the country’s top-tier Deutsche Eishockey Liga.
  • 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: DAO
Triple: [Microsoft Access, supports, DAO]
Generated description
DAO (Data Access Objects) is an older Microsoft data access technology that provides an object-oriented interface for working with databases, particularly Jet/Access databases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DAO
Target entity description: DAO (Data Access Objects) is an older Microsoft data access technology that provides an object-oriented interface for working with databases, particularly Jet/Access databases.
  • A. DAOO
    DAOO is the ICAO airport code assigned to Oran Ahmed Ben Bella Airport in Oran, Algeria.
  • B. Dao
    Dao is a municipality in the province of Capiz in the Philippines, known for its predominantly rural communities and agricultural economy.
  • C. Dao
    Dao is the fundamental principle in Chinese philosophy and religion that denotes the natural, ineffable way or path underlying and guiding the universe and human life.
  • D. ERC
    The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
  • E. ERC
    ERC is a professional ice hockey club based in Ingolstadt, Germany, competing in the country’s top-tier Deutsche Eishockey Liga.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c9b67988190a8a4a2c960017400 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe114372c819086f06e184d5ebde2 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe440a66c8190a5d5b417fb5082b7 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc338a1c48819086ece073e04e8fa6 completed March 31, 2026, 8:50 p.m.
Created at: March 30, 2026, 5:17 p.m.