Triple

T4084628
Position Surface form Disambiguated ID Type / Status
Subject MIT Energy Initiative E87559 entity
Predicate shortName P43 FINISHED
Object MITEI
MITEI is the Massachusetts Institute of Technology’s multidisciplinary research and education hub focused on advancing energy technologies, policy, and innovation for a low-carbon future.
 E410173 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: MITEI | Statement: [MIT Energy Initiative, shortName, MITEI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MITEI
Context triple: [MIT Energy Initiative, shortName, MITEI]
  • A. Kantei
    Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
  • B. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • C. MEI
    MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
  • D. Michishio
    Michishio was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait in 1944.
  • E. MKI
    MKI is the abbreviated name for the Kavli Institute for Astrophysics and Space Research, a leading research center focused on the study of the universe through observational and theoretical astrophysics.
  • 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: MITEI
Triple: [MIT Energy Initiative, shortName, MITEI]
Generated description
MITEI is the Massachusetts Institute of Technology’s multidisciplinary research and education hub focused on advancing energy technologies, policy, and innovation for a low-carbon future.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MITEI
Target entity description: MITEI is the Massachusetts Institute of Technology’s multidisciplinary research and education hub focused on advancing energy technologies, policy, and innovation for a low-carbon future.
  • A. Kantei
    Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
  • B. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • C. MEI
    MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
  • D. Michishio
    Michishio was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait in 1944.
  • E. MKI
    MKI is the abbreviated name for the Kavli Institute for Astrophysics and Space Research, a leading research center focused on the study of the universe through observational and theoretical astrophysics.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7a4b488190ab466e2c50329ab3 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c9760c8190a9292eb1cea55ab2 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563b6b9a48190a7b271fd6873e59f completed March 14, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69b5641e09d08190bf83c9a730e1bf34 completed March 14, 2026, 1:35 p.m.
Created at: March 9, 2026, 3:39 p.m.