Triple

T801370
Position Surface form Disambiguated ID Type / Status
Subject University of Groningen E17133 entity
Predicate abbreviation P43 FINISHED
Object RUG
RUG is the commonly used abbreviation for the University of Groningen, a major public research university in the Netherlands.
 E95462 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: RUG | Statement: [University of Groningen, abbreviation, RUG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RUG
Context triple: [University of Groningen, abbreviation, RUG]
  • A. ROK
    ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • B. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • C. Rùm
    Rùm is a small, rugged island in Scotland’s Inner Hebrides, known for its dramatic mountainous landscape, wildlife, and status as a National Nature Reserve.
  • D. Shompen
    The Shompen are an isolated indigenous people of Great Nicobar Island, known for their semi-nomadic forest-based lifestyle and limited contact with the outside world.
  • E. Rappen
    Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
  • 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: RUG
Triple: [University of Groningen, abbreviation, RUG]
Generated description
RUG is the commonly used abbreviation for the University of Groningen, a major public research university in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RUG
Target entity description: RUG is the commonly used abbreviation for the University of Groningen, a major public research university in the Netherlands.
  • A. ROK
    ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • B. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • C. Rùm
    Rùm is a small, rugged island in Scotland’s Inner Hebrides, known for its dramatic mountainous landscape, wildlife, and status as a National Nature Reserve.
  • D. Shompen
    The Shompen are an isolated indigenous people of Great Nicobar Island, known for their semi-nomadic forest-based lifestyle and limited contact with the outside world.
  • E. Rappen
    Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7cc75e88190bd35aabe51051b51 completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68924e1048190ba60034c8b8b3b9e completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a68a0f581c8190bdb2a9bda9bce1fa completed March 3, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69a6d6042aac8190ba0b092c4b3df66e completed March 3, 2026, 12:37 p.m.
Created at: March 1, 2026, 7:38 p.m.