Triple

T7650909
Position Surface form Disambiguated ID Type / Status
Subject Nils Gustaf Dalén E173247 entity
Predicate employer P7 FINISHED
Object AGA
AGA is a Swedish industrial gas and engineering company historically known for its innovations in lighthouse technology and gas appliances.
 E679635 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: AGA | Statement: [Nils Gustaf Dalén, employer, AGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AGA
Context triple: [Nils Gustaf Dalén, employer, AGA]
  • A. AGA
    AGA is the Advanced Graphics Architecture chipset used in later Commodore Amiga computers, providing enhanced color depth and graphics capabilities over earlier Amiga chipsets.
  • B. AGA
    AGA is a continental framework of the African Union that promotes and coordinates good governance, democracy, human rights, and the rule of law across African states.
  • C. AGA (traditional abbreviation)
    AGA (traditional abbreviation) refers to Spain’s General Air and Space Academy, the military officer training school of the Spanish Air and Space Force.
  • D. AGGH
    AGGH is the ICAO airport code for Honiara International Airport, the main international gateway to the Solomon Islands.
  • E. AGN
    AGN is the stock ticker symbol for Aegon, a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
  • 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: AGA
Triple: [Nils Gustaf Dalén, employer, AGA]
Generated description
AGA is a Swedish industrial gas and engineering company historically known for its innovations in lighthouse technology and gas appliances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AGA
Target entity description: AGA is a Swedish industrial gas and engineering company historically known for its innovations in lighthouse technology and gas appliances.
  • A. AGA
    AGA is the Advanced Graphics Architecture chipset used in later Commodore Amiga computers, providing enhanced color depth and graphics capabilities over earlier Amiga chipsets.
  • B. AGA
    AGA is a continental framework of the African Union that promotes and coordinates good governance, democracy, human rights, and the rule of law across African states.
  • C. AGA (traditional abbreviation)
    AGA (traditional abbreviation) refers to Spain’s General Air and Space Academy, the military officer training school of the Spanish Air and Space Force.
  • D. AGGH
    AGGH is the ICAO airport code for Honiara International Airport, the main international gateway to the Solomon Islands.
  • E. AGN
    AGN is the stock ticker symbol for Aegon, a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70175e4b88190bc40c839a42180d4 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ae293148190a30ef03a4a594fe6 completed March 29, 2026, 3:22 a.m.
NEDg Description generation batch_69c89d2e42fc81908b1ddeb0375b47c8 completed March 29, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69c89d9255e08190b248f0c3fc858bc5 completed March 29, 2026, 3:33 a.m.
Created at: March 27, 2026, 3:58 p.m.