Triple

T15662214
Position Surface form Disambiguated ID Type / Status
Subject Federal Office of Energy E376593 entity
Predicate abbreviation P43 FINISHED
Object OFEN
OFEN is the French abbreviation for Switzerland’s Federal Office of Energy, the national authority responsible for the country’s energy policy and regulation.
 E1169755 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: OFEN | Statement: [Federal Office of Energy, abbreviation, OFEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OFEN
Context triple: [Federal Office of Energy, abbreviation, OFEN]
  • A. Oveng
    Oveng is a town located in Cameroon's South Region.
  • B. Ovan
    Ovan is a small town located in northeastern Gabon within the Ogooué-Ivindo Province.
  • C. Frikat
    Frikat is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie region.
  • D. Metzling
    Metzling is a small locality that forms part of the municipality of Persenbeug-Gottsdorf in Lower Austria.
  • E. Flammekuchen
    Flammekuchen is a traditional Alsatian flatbread-style dish topped typically with crème fraîche, onions, and bacon, similar to a very thin pizza.
  • 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: OFEN
Triple: [Federal Office of Energy, abbreviation, OFEN]
Generated description
OFEN is the French abbreviation for Switzerland’s Federal Office of Energy, the national authority responsible for the country’s energy policy and regulation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OFEN
Target entity description: OFEN is the French abbreviation for Switzerland’s Federal Office of Energy, the national authority responsible for the country’s energy policy and regulation.
  • A. Oveng
    Oveng is a town located in Cameroon's South Region.
  • B. Ovan
    Ovan is a small town located in northeastern Gabon within the Ogooué-Ivindo Province.
  • C. Frikat
    Frikat is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie region.
  • D. Metzling
    Metzling is a small locality that forms part of the municipality of Persenbeug-Gottsdorf in Lower Austria.
  • E. Flammekuchen
    Flammekuchen is a traditional Alsatian flatbread-style dish topped typically with crème fraîche, onions, and bacon, similar to a very thin pizza.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679e0f2c8190bbcb7051c38e1580 completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68cfffd881908576c04e3eeb22a8 completed May 9, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:15 a.m.