Triple

T8478626
Position Surface form Disambiguated ID Type / Status
Subject Aérospatiale N 262 E200456 entity
Predicate developedFrom P1245 FINISHED
Object Nord 260
The Nord 260 was a French twin-turboprop regional airliner prototype that served as the basis for the later Aérospatiale N 262.
 E737391 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: Nord 260 | Statement: [Aérospatiale N 262, developedFrom, Nord 260]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nord 260
Context triple: [Aérospatiale N 262, developedFrom, Nord 260]
  • A. Nordy
    Nordy is the furry, wildcat-like official mascot of the NHL’s Minnesota Wild, known for entertaining fans at games and community events.
  • B. NORD-500
    NORD-500 was a Norwegian minicomputer system developed by Norsk Data in the late 1960s as an early member of their NORD series of computers.
  • C. Nortone
    Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
  • D. Nordica
    Nordica is Estonia’s national airline, operating regional and international flights primarily across Europe.
  • E. NORFORCE
    NORFORCE is a regional surveillance unit of the Australian Army Reserve, renowned for operating across vast and remote areas of northern Australia with a high proportion of Indigenous soldiers.
  • 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: Nord 260
Triple: [Aérospatiale N 262, developedFrom, Nord 260]
Generated description
The Nord 260 was a French twin-turboprop regional airliner prototype that served as the basis for the later Aérospatiale N 262.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nord 260
Target entity description: The Nord 260 was a French twin-turboprop regional airliner prototype that served as the basis for the later Aérospatiale N 262.
  • A. Nordy
    Nordy is the furry, wildcat-like official mascot of the NHL’s Minnesota Wild, known for entertaining fans at games and community events.
  • B. NORD-500
    NORD-500 was a Norwegian minicomputer system developed by Norsk Data in the late 1960s as an early member of their NORD series of computers.
  • C. Nortone
    Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
  • D. Nordica
    Nordica is Estonia’s national airline, operating regional and international flights primarily across Europe.
  • E. NORFORCE
    NORFORCE is a regional surveillance unit of the Australian Army Reserve, renowned for operating across vast and remote areas of northern Australia with a high proportion of Indigenous soldiers.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5216d6481908e25a49bcc2e00cc completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a22d6e481908bdb0b9cc0df0113 completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3cddba648190be303823862a0423 completed April 2, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_69ce3d5edabc8190b985546b8242e90a completed April 2, 2026, 9:56 a.m.
Created at: March 30, 2026, 6:12 p.m.