Triple

T4170478
Position Surface form Disambiguated ID Type / Status
Subject Saorview E84549 entity
Predicate operator P179 FINISHED
Object 2RN
2RN is the transmission and network services company responsible for operating Ireland’s national digital terrestrial television and radio infrastructure.
 E417898 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: 2RN | Statement: [Saorview, operator, 2RN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 2RN
Context triple: [Saorview, operator, 2RN]
  • A. RNR
    RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
  • B. RNO
    RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • C. RNP
    RNP is the commonly used abbreviation for the Canadian federal electoral district of Renfrew—Nipissing—Pembroke in Ontario.
  • D. RdR
    RdR is the abbreviated name of the Council for German Orthography, the official body responsible for regulating and updating German spelling rules.
  • E. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • 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: 2RN
Triple: [Saorview, operator, 2RN]
Generated description
2RN is the transmission and network services company responsible for operating Ireland’s national digital terrestrial television and radio infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 2RN
Target entity description: 2RN is the transmission and network services company responsible for operating Ireland’s national digital terrestrial television and radio infrastructure.
  • A. RNR
    RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
  • B. RNO
    RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • C. RNP
    RNP is the commonly used abbreviation for the Canadian federal electoral district of Renfrew—Nipissing—Pembroke in Ontario.
  • D. RdR
    RdR is the abbreviated name of the Council for German Orthography, the official body responsible for regulating and updating German spelling rules.
  • E. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c87cc88190a9ec3712db18a8a7 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f4ef1a08190a232ed94595a86e8 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b580e08e888190b48ddae4435c984a completed March 14, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69b5817b52bc8190aba6863a9ef05acf completed March 14, 2026, 3:40 p.m.
Created at: March 9, 2026, 3:45 p.m.