Triple

T2313463
Position Surface form Disambiguated ID Type / Status
Subject ISO/IEC 9899 E51009 entity
Predicate alsoKnownAs P39 FINISHED
Object C90
C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
 E255504 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: C90 | Statement: [ISO/IEC 9899, alsoKnownAs, C90]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C90
Context triple: [ISO/IEC 9899, alsoKnownAs, C90]
  • A. C-9
    C-9 is a mountain railway line of Madrid’s Cercanías commuter rail network that connects the city with the Sierra de Guadarrama, including the Puerto de Navacerrada and Cotos areas.
  • B. M90
    M90 is a major motorway in Scotland that connects Perth to the Forth Road Bridge, forming a key part of the route between the Scottish Highlands and Edinburgh.
  • C. C-8
    C-8 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with various suburban areas.
  • D. A92
    A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
  • E. C-1
    C-1 is a commuter rail line in the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • 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: C90
Triple: [ISO/IEC 9899, alsoKnownAs, C90]
Generated description
C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: C90
Target entity description: C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
  • A. C-9
    C-9 is a mountain railway line of Madrid’s Cercanías commuter rail network that connects the city with the Sierra de Guadarrama, including the Puerto de Navacerrada and Cotos areas.
  • B. M90
    M90 is a major motorway in Scotland that connects Perth to the Forth Road Bridge, forming a key part of the route between the Scottish Highlands and Edinburgh.
  • C. C-8
    C-8 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with various suburban areas.
  • D. A92
    A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
  • E. C-1
    C-1 is a commuter rail line in the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc61c1ef08190911d5f58c2e91189 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae895f5420819087b403e9772dce9a completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8af65eb88190b17d74e7411967cc completed March 9, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_69ae8ba02cec8190917c0e17d3fedb0e completed March 9, 2026, 8:58 a.m.
Created at: March 4, 2026, 7:49 p.m.