Triple

T20081389
Position Surface form Disambiguated ID Type / Status
Subject Nationen E500007 entity
Predicate hasAbbreviation P43 FINISHED
Object NAT
NAT is the common abbreviation for "Nationen," a Norwegian student newspaper based in Trondheim.
 E1410192 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: NAT | Statement: [Nationen, hasAbbreviation, NAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NAT
Context triple: [Nationen, hasAbbreviation, NAT]
  • A. NAT
    NAT is the station code used to identify Nationaltheatret railway station in Oslo, Norway.
  • B. NAT
    NAT is the IATA airport code for Natal Air Base, a military airfield serving the Natal region in Brazil.
  • C. NAT-T
    NAT-T (NAT Traversal) is an IPsec extension that enables VPN traffic to pass through Network Address Translation devices by encapsulating IPsec packets in UDP.
  • D. NAT64
    NAT64 is a network address translation mechanism that enables IPv6-only clients to communicate with IPv4 servers by translating between the two protocol address spaces and packet formats.
  • E. NATI
    NATI is the stock ticker symbol for National Instruments Corporation, an American company known for its automated test and measurement systems and LabVIEW software platform.
  • 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: NAT
Triple: [Nationen, hasAbbreviation, NAT]
Generated description
NAT is the common abbreviation for "Nationen," a Norwegian student newspaper based in Trondheim.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NAT
Target entity description: NAT is the common abbreviation for "Nationen," a Norwegian student newspaper based in Trondheim.
  • A. NAT
    NAT is the station code used to identify Nationaltheatret railway station in Oslo, Norway.
  • B. NAT
    NAT is the IATA airport code for Natal Air Base, a military airfield serving the Natal region in Brazil.
  • C. NAT-T
    NAT-T (NAT Traversal) is an IPsec extension that enables VPN traffic to pass through Network Address Translation devices by encapsulating IPsec packets in UDP.
  • D. NAT64
    NAT64 is a network address translation mechanism that enables IPv6-only clients to communicate with IPv4 servers by translating between the two protocol address spaces and packet formats.
  • E. NATI
    NATI is the stock ticker symbol for National Instruments Corporation, an American company known for its automated test and measurement systems and LabVIEW software platform.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66557c19c8190b511857490bbd423 completed April 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f4590748190864820afe557d4cd completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a08208118c0819093dee2c851c9999f completed May 16, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0821637b008190a410ca9f89fecf8f completed May 16, 2026, 7:48 a.m.
Created at: April 11, 2026, 3:41 p.m.