Triple

T7846599
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Energy Resources E181936 entity
Predicate shortName P43 FINISHED
Object ENR
ENR is the U.S. Department of State’s Bureau of Energy Resources, which leads American foreign policy on energy security, access, and sustainability.
 E698604 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: ENR | Statement: [Bureau of Energy Resources, shortName, ENR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENR
Context triple: [Bureau of Energy Resources, shortName, ENR]
  • A. CONR
    CONR is the Continental U.S. NORAD Region, the North American Aerospace Defense Command component responsible for aerospace warning and control over the contiguous United States.
  • B. NSE
    NSE is India’s leading electronic stock exchange, known for its advanced trading infrastructure and benchmark indices like the Nifty 50.
  • C. NSE
    NSE is the IATA airport code for Naval Air Station Whiting Field, a U.S. Navy air training facility in Florida.
  • D. NSE
    NSE is a regional Japanese stock exchange based in Nagoya that facilitates the trading of securities.
  • E. NSE
    NSE is the Nairobi-based stock exchange that serves as Kenya’s primary securities market for trading shares, bonds, and other financial instruments.
  • 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: ENR
Triple: [Bureau of Energy Resources, shortName, ENR]
Generated description
ENR is the U.S. Department of State’s Bureau of Energy Resources, which leads American foreign policy on energy security, access, and sustainability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENR
Target entity description: ENR is the U.S. Department of State’s Bureau of Energy Resources, which leads American foreign policy on energy security, access, and sustainability.
  • A. CONR
    CONR is the Continental U.S. NORAD Region, the North American Aerospace Defense Command component responsible for aerospace warning and control over the contiguous United States.
  • B. NSE
    NSE is India’s leading electronic stock exchange, known for its advanced trading infrastructure and benchmark indices like the Nifty 50.
  • C. NSE
    NSE is the IATA airport code for Naval Air Station Whiting Field, a U.S. Navy air training facility in Florida.
  • D. NSE
    NSE is a regional Japanese stock exchange based in Nagoya that facilitates the trading of securities.
  • E. NSE
    NSE is the Nairobi-based stock exchange that serves as Kenya’s primary securities market for trading shares, bonds, and other financial instruments.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163f5da08190b7340ef4cc01cd19 completed March 31, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5af27c9c8190a3e6062d323acff1 completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb5def38e88190864d84abd7959aa3 completed March 31, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69cb766e41fc8190a08f07d04774053a completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:49 p.m.