Triple

T11712163
Position Surface form Disambiguated ID Type / Status
Subject Clinger–Cohen Act of 1996 E278398 entity
Predicate alsoKnownAs P39 FINISHED
Object ITMRA
ITMRA is a U.S. federal law that modernized government information technology management and accountability across federal agencies.
 E942019 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: ITMRA | Statement: [Clinger–Cohen Act of 1996, alsoKnownAs, ITMRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ITMRA
Context triple: [Clinger–Cohen Act of 1996, alsoKnownAs, ITMRA]
  • A. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • B. ITI
    ITI is a leading U.S.-based trade association that represents major global technology companies and advocates for public policies on innovation, cybersecurity, and the digital economy.
  • C. ITR
    ITR is the commonly used abbreviation for the Indiana Toll Road, a major east–west highway running across northern Indiana.
  • D. IITM
    IITM is a premier public engineering and research university located in Chennai, India, renowned for its cutting-edge technology programs and strong emphasis on innovation.
  • E. CITMA
    CITMA is Cuba’s government ministry responsible for overseeing national policy and regulation in science, technology, and environmental protection.
  • 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: ITMRA
Triple: [Clinger–Cohen Act of 1996, alsoKnownAs, ITMRA]
Generated description
ITMRA is a U.S. federal law that modernized government information technology management and accountability across federal agencies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ITMRA
Target entity description: ITMRA is a U.S. federal law that modernized government information technology management and accountability across federal agencies.
  • A. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • B. ITI
    ITI is a leading U.S.-based trade association that represents major global technology companies and advocates for public policies on innovation, cybersecurity, and the digital economy.
  • C. ITR
    ITR is the commonly used abbreviation for the Indiana Toll Road, a major east–west highway running across northern Indiana.
  • D. IITM
    IITM is a premier public engineering and research university located in Chennai, India, renowned for its cutting-edge technology programs and strong emphasis on innovation.
  • E. CITMA
    CITMA is Cuba’s government ministry responsible for overseeing national policy and regulation in science, technology, and environmental protection.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4be10088190854699385d1f6a95 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef838562d08190b9a764e88c50d423 completed April 27, 2026, 3:40 p.m.
NEDg Description generation batch_69ef9b68309081909f3f614efeeb2ab1 completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd6aba82c81909ff22e6b26db3cfe completed April 27, 2026, 9:35 p.m.
Created at: April 8, 2026, 9:40 p.m.