Triple

T13491391
Position Surface form Disambiguated ID Type / Status
Subject PURPA E318639 entity
Predicate abbreviation P43 FINISHED
Object QF
QF is a "qualifying facility" under the U.S. Public Utility Regulatory Policies Act (PURPA), typically a small power producer or cogeneration plant that meets specific efficiency and fuel-use standards to receive certain regulatory benefits.
 E1043735 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: QF | Statement: [PURPA, abbreviation, QF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QF
Context triple: [PURPA, abbreviation, QF]
  • A. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. QFC
    QFC is a regional supermarket chain in the Pacific Northwest of the United States, operating as a subsidiary of Kroger.
  • C. QFA
    QFA is the commonly used abbreviation for the Qatar Football Association, the governing body of football in Qatar.
  • D. QEF
    QEF is the IATA airport code for Frankfurt Egelsbach Airport, a general aviation airfield near Frankfurt, Germany.
  • E. QFO
    QFO is the IATA airport code assigned to Florennes Air Base, a military airfield in Belgium.
  • 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: QF
Triple: [PURPA, abbreviation, QF]
Generated description
QF is a "qualifying facility" under the U.S. Public Utility Regulatory Policies Act (PURPA), typically a small power producer or cogeneration plant that meets specific efficiency and fuel-use standards to receive certain regulatory benefits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QF
Target entity description: QF is a "qualifying facility" under the U.S. Public Utility Regulatory Policies Act (PURPA), typically a small power producer or cogeneration plant that meets specific efficiency and fuel-use standards to receive certain regulatory benefits.
  • A. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. QFC
    QFC is a regional supermarket chain in the Pacific Northwest of the United States, operating as a subsidiary of Kroger.
  • C. QFA
    QFA is the commonly used abbreviation for the Qatar Football Association, the governing body of football in Qatar.
  • D. QEF
    QEF is the IATA airport code for Frankfurt Egelsbach Airport, a general aviation airfield near Frankfurt, Germany.
  • E. QFO
    QFO is the IATA airport code assigned to Florennes Air Base, a military airfield in Belgium.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf4c66008190b287e0551889d7c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463b758c8190abc0dd2a049d751e completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74d048250819098baf78ff08c1633 completed May 3, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69f750f7f11481908c60b49eef65b63f completed May 3, 2026, 1:43 p.m.
Created at: April 9, 2026, 9:43 p.m.