Triple

T6581180
Position Surface form Disambiguated ID Type / Status
Subject Det Norske Akademis ordbok E157299 entity
Predicate hasAbbreviation P43 FINISHED
Object NAOB
NAOB is the standard comprehensive Norwegian dictionary published by the Norwegian Academy.
E605233 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: NAOB | Statement: [Det Norske Akademis ordbok, hasAbbreviation, NAOB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NAOB
Context triple: [Det Norske Akademis ordbok, hasAbbreviation, NAOB]
  • A. NOA
    NOA is the three-letter National Rail station code for Newton-on-Ayr railway station in South Ayrshire, Scotland.
  • B. NOB
    NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
  • C. NBO
    NBO is the IATA airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • D. NAF
    NAF is a Norwegian trade union representing general workers across various industries.
  • E. NAFC
    NAFC (North American Football Confederation) was the former governing body for association football in North America prior to its merger into CONCACAF.
  • 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: NAOB
Triple: [Det Norske Akademis ordbok, hasAbbreviation, NAOB]
Generated description
NAOB is the standard comprehensive Norwegian dictionary published by the Norwegian Academy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NAOB
Target entity description: NAOB is the standard comprehensive Norwegian dictionary published by the Norwegian Academy.
  • A. NOA
    NOA is the three-letter National Rail station code for Newton-on-Ayr railway station in South Ayrshire, Scotland.
  • B. NOB
    NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
  • C. NOB
    NOB is the abbreviation for Dutch National Opera & Ballet, the leading institution for opera and ballet performances in the Netherlands.
  • D. NBO
    NBO is the IATA airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • E. NAF
    NAF is a Norwegian trade union representing general workers across various industries.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae90c1b081908f851bff1dd19855 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d572c4708190844f4b1abee8ca86 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d9817b708190a3a66d40996cf2a1 completed March 27, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_69c6daaa4be88190a07823df9427d2d5 completed March 27, 2026, 7:29 p.m.
Created at: March 27, 2026, 1:54 p.m.