Triple

T23312957
Position Surface form Disambiguated ID Type / Status
Subject ebXML E590629 entity
Predicate relatedTo P37 FINISHED
Object EDI
EDI (Electronic Data Interchange) is a standardized method for electronically exchanging business documents and data between organizations in a structured, machine-readable format.
 E1579427 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: EDI | Statement: [ebXML, relatedTo, EDI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EDI
Context triple: [ebXML, relatedTo, EDI]
  • A. EDI
    EDI is the three-letter IATA airport code for Edinburgh Airport, the main international airport serving Scotland’s capital city.
  • B. EDI
    EDI is an artificial intelligence character from the Mass Effect video game series, known for her evolving personality and role as the Normandy's ship AI and later as a humanoid squadmate.
  • C. EDI
    EDI is the official abbreviation for the Swiss Federal Department of Home Affairs, a key government ministry responsible for social security, health, culture, and related domestic affairs.
  • D. IDOC
    IDOC is the state agency responsible for overseeing prisons, community-based corrections, and offender rehabilitation in Iowa.
  • E. IDOC
    IDOC is the state agency responsible for overseeing prisons, parole, and related correctional services in Illinois.
  • 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: EDI
Triple: [ebXML, relatedTo, EDI]
Generated description
EDI (Electronic Data Interchange) is a standardized method for electronically exchanging business documents and data between organizations in a structured, machine-readable format.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EDI
Target entity description: EDI (Electronic Data Interchange) is a standardized method for electronically exchanging business documents and data between organizations in a structured, machine-readable format.
  • A. EDI
    EDI is the three-letter IATA airport code for Edinburgh Airport, the main international airport serving Scotland’s capital city.
  • B. EDI
    EDI is the official abbreviation for the Swiss Federal Department of Home Affairs, a key government ministry responsible for social security, health, culture, and related domestic affairs.
  • C. EDI
    EDI is an artificial intelligence character from the Mass Effect video game series, known for her evolving personality and role as the Normandy's ship AI and later as a humanoid squadmate.
  • D. IDOC
    IDOC is the state agency responsible for overseeing prisons, parole, and related correctional services in Illinois.
  • E. IDOC
    IDOC is the state agency responsible for overseeing prisons, community-based corrections, and offender rehabilitation in Iowa.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972ca70481909e2415c65964210a completed April 29, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4ca2fb888190931e944c3df87188 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4e669b6481909f198d1c51b68bf3 completed May 19, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4f011a188190b801f2ae0f134356 completed May 19, 2026, 11:52 a.m.
Created at: April 17, 2026, 5:06 p.m.